{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f0c8c110-94a9-4940-a0a6-80de285b1e37",
   "metadata": {},
   "source": [
    "# 第十三节、Pandas的数据可视化"
   ]
  },
  {
   "cell_type": "code",
   "id": "95e1d000-af6a-49e7-9a2d-6a625d656bc3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:20.158326Z",
     "start_time": "2025-06-20T06:14:20.151807Z"
    }
   },
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ],
   "outputs": [],
   "execution_count": 1
  },
  {
   "cell_type": "markdown",
   "id": "824527c2-2f63-4b7e-8be8-13645123e55a",
   "metadata": {},
   "source": [
    "## （1）线形图"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5840c30-0a3f-4058-bfcf-d412c0438c8b",
   "metadata": {},
   "source": [
    "`plot()` DataFrame的这个方法默认绘制折线图，默认显示图例"
   ]
  },
  {
   "cell_type": "code",
   "id": "a86c6f3f-4429-4464-8577-312f42fb9a03",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:20.201665Z",
     "start_time": "2025-06-20T06:14:20.171505Z"
    }
   },
   "source": [
    "df1 = pd.DataFrame(\n",
    "    data=np.random.randn(1000, 4),\n",
    "    index=pd.date_range(start='27/6/2021', periods=1000),\n",
    "    columns=list('ABCD')\n",
    ")\n",
    "df1"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "                   A         B         C         D\n",
       "2021-06-27  0.502740 -0.361852  1.739369  1.026079\n",
       "2021-06-28  0.999015 -0.118195 -1.320069 -0.272099\n",
       "2021-06-29  0.735729  0.979604 -2.375825 -0.207352\n",
       "2021-06-30  0.232247 -0.708356  2.355236  0.480977\n",
       "2021-07-01  0.300970  0.648476 -1.955700 -1.851265\n",
       "...              ...       ...       ...       ...\n",
       "2024-03-18  0.486040 -1.107949 -1.426176  0.094463\n",
       "2024-03-19  0.204762  0.345569 -0.716379  1.531850\n",
       "2024-03-20 -1.194943 -1.656074 -0.033366 -0.035608\n",
       "2024-03-21  1.057339 -1.352708 -0.552367 -0.395865\n",
       "2024-03-22  0.544058  0.655659  1.776447  1.122693\n",
       "\n",
       "[1000 rows x 4 columns]"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-06-27</th>\n",
       "      <td>0.502740</td>\n",
       "      <td>-0.361852</td>\n",
       "      <td>1.739369</td>\n",
       "      <td>1.026079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-28</th>\n",
       "      <td>0.999015</td>\n",
       "      <td>-0.118195</td>\n",
       "      <td>-1.320069</td>\n",
       "      <td>-0.272099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-29</th>\n",
       "      <td>0.735729</td>\n",
       "      <td>0.979604</td>\n",
       "      <td>-2.375825</td>\n",
       "      <td>-0.207352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-30</th>\n",
       "      <td>0.232247</td>\n",
       "      <td>-0.708356</td>\n",
       "      <td>2.355236</td>\n",
       "      <td>0.480977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-07-01</th>\n",
       "      <td>0.300970</td>\n",
       "      <td>0.648476</td>\n",
       "      <td>-1.955700</td>\n",
       "      <td>-1.851265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-18</th>\n",
       "      <td>0.486040</td>\n",
       "      <td>-1.107949</td>\n",
       "      <td>-1.426176</td>\n",
       "      <td>0.094463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-19</th>\n",
       "      <td>0.204762</td>\n",
       "      <td>0.345569</td>\n",
       "      <td>-0.716379</td>\n",
       "      <td>1.531850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-20</th>\n",
       "      <td>-1.194943</td>\n",
       "      <td>-1.656074</td>\n",
       "      <td>-0.033366</td>\n",
       "      <td>-0.035608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-21</th>\n",
       "      <td>1.057339</td>\n",
       "      <td>-1.352708</td>\n",
       "      <td>-0.552367</td>\n",
       "      <td>-0.395865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-22</th>\n",
       "      <td>0.544058</td>\n",
       "      <td>0.655659</td>\n",
       "      <td>1.776447</td>\n",
       "      <td>1.122693</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 4 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 2
  },
  {
   "cell_type": "code",
   "id": "8d490562-393b-494a-af1e-f193e64e5234",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:20.531033Z",
     "start_time": "2025-06-20T06:14:20.220716Z"
    }
   },
   "source": [
    "df1.cumsum().plot()"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 3
  },
  {
   "cell_type": "markdown",
   "id": "9b4ae780-db11-4085-811c-ca7f41f10aeb",
   "metadata": {},
   "source": [
    "## （2）条形图"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9ddf972-a70d-41ab-b276-58f11501913a",
   "metadata": {},
   "source": [
    "`kind`参数可以控制绘制何种图形，当`kind='bar'`的时候就是条形图"
   ]
  },
  {
   "cell_type": "code",
   "id": "afdd9a7e-2acc-413c-b144-6eecd2631720",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:20.563572Z",
     "start_time": "2025-06-20T06:14:20.550095Z"
    }
   },
   "source": [
    "df2 = pd.DataFrame(\n",
    "    data=np.random.rand(10, 4),\n",
    "    columns=list('ABCD')\n",
    ")\n",
    "df2"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "          A         B         C         D\n",
       "0  0.794400  0.317989  0.204326  0.166175\n",
       "1  0.390972  0.229371  0.337283  0.878146\n",
       "2  0.525670  0.189276  0.415318  0.346872\n",
       "3  0.877134  0.591657  0.595541  0.449470\n",
       "4  0.877209  0.518010  0.479249  0.615542\n",
       "5  0.053654  0.601351  0.309340  0.820730\n",
       "6  0.427022  0.192213  0.436263  0.043907\n",
       "7  0.047401  0.196106  0.075381  0.364618\n",
       "8  0.289539  0.715461  0.852700  0.018178\n",
       "9  0.494684  0.550116  0.518643  0.059442"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.794400</td>\n",
       "      <td>0.317989</td>\n",
       "      <td>0.204326</td>\n",
       "      <td>0.166175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.390972</td>\n",
       "      <td>0.229371</td>\n",
       "      <td>0.337283</td>\n",
       "      <td>0.878146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.525670</td>\n",
       "      <td>0.189276</td>\n",
       "      <td>0.415318</td>\n",
       "      <td>0.346872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.877134</td>\n",
       "      <td>0.591657</td>\n",
       "      <td>0.595541</td>\n",
       "      <td>0.449470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.877209</td>\n",
       "      <td>0.518010</td>\n",
       "      <td>0.479249</td>\n",
       "      <td>0.615542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.053654</td>\n",
       "      <td>0.601351</td>\n",
       "      <td>0.309340</td>\n",
       "      <td>0.820730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.427022</td>\n",
       "      <td>0.192213</td>\n",
       "      <td>0.436263</td>\n",
       "      <td>0.043907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.047401</td>\n",
       "      <td>0.196106</td>\n",
       "      <td>0.075381</td>\n",
       "      <td>0.364618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.289539</td>\n",
       "      <td>0.715461</td>\n",
       "      <td>0.852700</td>\n",
       "      <td>0.018178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.494684</td>\n",
       "      <td>0.550116</td>\n",
       "      <td>0.518643</td>\n",
       "      <td>0.059442</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 4
  },
  {
   "cell_type": "code",
   "id": "b57e9c58-4773-42b1-bc8f-da74b4874483",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:20.767484Z",
     "start_time": "2025-06-20T06:14:20.587991Z"
    }
   },
   "source": [
    "df2.plot(kind='bar')"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 5
  },
  {
   "cell_type": "code",
   "id": "fe4c457b-0795-45c8-8198-6377646a8824",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:20.964329Z",
     "start_time": "2025-06-20T06:14:20.769499Z"
    }
   },
   "source": [
    "# stacked参数设置是否允许堆叠\n",
    "df2.plot(kind='bar', stacked=True)"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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GHjx4RMIOBUhNa7ozOdmG07xQg1vrCAQ+f4HFQnn5MQkGQ46s2yt1eGGfSsQaEqWOkyerzRGCYDAsp0654zVwvgDS2G3UOrVefc1fdNHJc/4/ORJCHn74YXO2iwaRQYMGnXOZ1q1bm9N8Tqf3L7744kibM0+00zttLNpwmhdq8FIdDeGVut1Whxf2KS/U4PU6vFCXjec0ov6YBQsWyPLly+XRRx+Vm2666UuX07lB3nnnHXNa7+cbGZatW7eaxwEA8Kqazz2vC0epznqHkD179sjjjz8ud999tznzRQef1tyU/tRjYmrw4MFy+PBhmTlzphQVFZmfOk7kxhtvjMpGAwDgJoFAwPysrj73BJ5eU/1FnYFA467+Uu+/3rBhgwSDQVm4cKG5nW737t2Sl5dnZlDVU3BTU1PliSeekOnTp8vKlSulY8eO8uSTTzJRGQDAk/z+gDRtmipHj5ab+0lJybXTVLhNKOQzYzoa2gOiAUTr1Hp1cGpMQojOgKq3L6NB5HRXXXWVvPDCC43aOAAA4kVaWkvzsyaIuJXf7zeDShtDA0hNvY3BVXQBAIgC7flIT8+SFi0yJRg8JW7k831+Kr2e1dLQYR16CKaxPSA1CCEAAESRfkD7/XXnynJTCElJSTGn1bphDK37Z1QBAACeRAgBAABWEEIAAIAVhBAAAGAFIQQAAFhBCAEAAFYQQgAAgBWEEAAAYAWTlQEJIik3Ny7XDTjF7/eZW6QCgfp/fw+FwuaGcyOEAAkgHAxKzpwCx9sA4oWGj8yMpuL/4uq3kdBpz+srFAxKecVxgsiXIIQACcAXCMj8rfOl5GiJI+vPSc2RcT3GObJuwLFekEBADjy+UE7u2+dIGxe1aSPZY0abtggh50YIARLEppJNsrNspyPr7tyyMyEEcUd77zQkON0GvhwhBACQkOghtI8Q4pHBUpEMlFIMlgIAeghtI4R4ZLBUJAOlFIOlAAC2EUJcOliqZPwEqS4udux0Sj1TgsFSAACbCCEupQGkqrDQ9mYAAOAYZkwFAABWEEIAAIAVhBAAAGAFIQQAAFjBwFQAcYGLjQHeQwgB4HpcbAzwJkIIANdj/hzAmwghAOIG8+cA3sLAVAAAYAUhBAAAWEEIAQAAVhBCAACAFYQQAABgBSEEAABYQQgBAABWEEIAAIAVhBAAAGAFIQQAAFhBCAEAAFYQQgAAgBWEEAAAYAUhBAAAWEEIAQAAVhBCAACAFYQQAABgBSEEAABY0cROswAAIBr8fp+5RSIQiKwPIhQKm1u0EUIAAIhTfr9PMjOaij8QiOjvMjObR7R8KBiU8orjUQ8ihBAAAOK5FyQQkJLxE6S6uNiRNpJycyVnToFpixACAADq0ABSVVgo8YaBqQAAwApCCAAAsIIQAgAArCCEAAAAKwghAADACs6OAQAgziXl5sblugkhAADEsXAwaObxcLoNJxBCAACIY75AQOZvnS8lR0scWX9Oao6M6zHOkXUTQgAAiHObSjbJzrKdjqy7c8vOjoWQBg9Mra6ulptvvlneeuutL11m9OjR0rFjxzq31157raFNAgAAD2lQT8iJEyfk/vvvlw8++OC8y+3Zs0cKCgqkd+/etY+lp6c3pEkAAJDoIaSoqMgEkHA4fMGekr1790rXrl2lVatWjdlGAADgQREfjtm8ebP06tVLVqxYcd7liouLxefzSbt27RqzfQAAwKMi7gm544476rWchpDU1FSZOHGiCS6XXHKJjB07Vvr16xdRez5fpFsY+bqdbMPt3FI7z4V3avdCHW6pwSuvC6/U0Rheqd3ni26tjp0doyGkqqpK8vLyZOTIkbJu3TozUFV7UPQQTX1lZbVwahNj2oYbZWY2F7fhuYhvXqjDjTV45XXhlTq8sE+5pQ7HQsiYMWNkxIgRtQNRO3XqJDt27JCVK1dGFEIOHjwiFxh+0mCa1vRF4WQbkQoE/DHbYcvLj0kwGBI34Llw7rnwQh1eqMErrwuv1OGVfSrgwjpqnm+rIcTv9591Jkxubq4Z2BoJ3WHru9P6/T5za8i21lcoFDY3r3DLG0JDnm+v8UrdXqjDbTV45XXhlToawit1h6Nch2MhZPLkyWZg6qxZs2of27Vrl3To0MGR9jR8ZGY0FX8gEPHfRpIiQ8GglFcc91QQcUpDQqGm+kQNhACQaKIaQkpLS6VFixaSkpIi/fv3l/vuu8+cSdO9e3dZvXq1bNmyRWbMmCGOfeAFAlIyfoJUFxc7dhEfnZ9f2+LDz5lQ6MZAmJueG5frBoCECiE6CFV7PoYOHSoDBw6U6dOny8KFC2Xfvn1yxRVXyOLFi6Vt27biJA0gVYWFjrYB+6EwVoEwGApKft98x9Zf0wYAJKJGhZDdu3ef9/7w4cPNDYkr3kNhwB8Q2TBDpOJjZxrIuEwCAx5wZt0A4HJcwA64kKL1Ip9ud2bdl3YTIYQASFANvoAdAABAYxBCAACAFYQQAABgBSEEAABYQQgBAABWEEIAAIAVnKILJAhmfgXgNoQQIAEw8ysANyKEAAmAmV8BuBEhBEgUzPwKwGUYmAoAAKwghAAAACsIIQAAwApCCAAAsIIQAgAArCCEAAAAKwghAADACs/NE5KUmxuX6wYAINF4KoSEg0HJmVPgeBsAAKDxPBVCfIGAzN86X0qOljiy/pzUHBnXY5wj6wYAINF4KoSoTSWbZGfZTkfW3bllZ0IIAABRwsBUAABgBSEEAABYQQgBAABWEEIAAIAVhBAAAGAFIQQAAFhBCAEAAFYQQgAAgBWEEAAAYAUhBAAAWEEIAQAAVhBCAACAFYQQAABgBSEEAABYQQgBAABWEEIAAIAVhBAAAGAFIQQAAFhBCAEAAFYQQgAAgBWEEAAAYAUhBAAAWNHETrNIFEm5uXG1XgBA7BBC4JhwMCg5cwocXT8AIH4RQuAYXyAg87fOl5KjJVFfd05qjozrMS7q6wUAxI7nQkhuem5crturNpVskp1lO6O+3s4tOxNCACDOeSqEBENBye+b73gbAACg8TwVQgL+gMiGGSIVHzvTQMZlEhjwgDPrBpAQ/H6fuUUiEIjsRMZQKGxugNt5KoQYRetFPt3uzLov7SZCCAHQQBo+MjOaij8QiOjvMjObR7R8KBiU8orjBBG4nvdCCAC4uRckEJCS8ROkurjYsdPX9aw0bYsQArcjhABAjGkAqSostL0ZgHXMmAoAAKwghAAAACs4HAMAMebkZQe4pAHiCSEEADx0OYOaNpBYcuN0ok5CCAB45HIGiksaJJ5gHE/U2eAQUl1dLUOHDpVf/epX0qtXr3MuU1hYKNOnT5f3339f2rdvLw899JBceeWVjdleAIh7Tl3OQHFJg8QTiOOJOhsUQk6cOCH333+/fPDBB1+6TGVlpYwcOVKGDBki+fn5smzZMhk1apSsW7dOmjVr1phtBgAAHpioM+KzY4qKiuTWW2+Vjz8+f+Jas2aNJCcny8SJE+Xyyy+XadOmSfPmzWXt2rWN2V4AAOAREYeQzZs3m8MvK1asOO9y27dvl549e4rP9/k1EvRnjx49ZNu2bQ3fWgAA4BkRH46544476rVcaWmpGQdyuqysrPMewgEAIJbi9awSr3Ds7Jjjx49LUlJSncf0vg5ojcQXHSmu49btSsQ6vFCDog738EINbqqjZjvcsj012xKrs0q0LTfV3hj1qSOSWh0LIToe5MzAofdTUlIiWk9WVgtxm0ivaOlWXqjDCzUo6nAPL9Tg1jrc+H4ei7NKMjLc91y4ZZ9yLIS0bt1aDhw4UOcxvX/xxRdHtJ6DB49IuB4XggwE/DF70ZWXH5NgMOTIuqkj8WpQ1OH9GrxUR6T0m7EGkPq+n8dC7XMRg7NKEm2f8n3xfFsNId26dZOnnnpKwuGwGZSqP7du3So//elPI1qP7rBu2WlP58ZtStQ6vFCDog738EINbqzDre/nseCVusNRriOqIUQHo7Zo0cIcchk8eLDMnTtXZs6cKbfffrssX77cjBO58cYbo9kkgATCNVcAb4lqCMnLy5NZs2aZmVRTU1PliSeeMDOmrly5Ujp27ChPPvkkE5XVE2+2QF1ccwXwnkaFkN27d5/3/lVXXSUvvPBCY5pISLzZAmfjmiuA93ABOxfizRY4N665AngLIcSleLMFAHhdxNO2AwAARAMhBAAAWEEIAQAAVhBCAACAFYQQAABgBSEEAABYQQgBAABWEEIAAIAVTFYGXEh2h/hct1frAOAZhBDgPMKhoPiGLXa8Dad5pQ4A3kIIAc7D5w9IwSu75JOySkfW365lM5kwqJM4zSt1APAWQghwAa/vLpUd+w47su4ubdJi9uHtlToAeAcDUwEAgBWEEAAAYAUhBAAAWEEIAQAAVhBCAACAFYQQAABgBSEEAABY4b15QpiaGgCAuOCpEMLU1AAAxA9PhRCmpgYAIH54KoQopqYGACA+MDAVAABYQQgBAABWEEIAAIAVhBAAAGAFIQQAAFhBCAEAAFYQQgAAgBWemycE7pKbnhtX6wUAxA4hBI4JhoKS3zff0fUDAOIXIQSOCfgDIhtmiFR8HP2VZ1wmgQEPRH+9AICYIYTAWUXrRT7dHv31XtpNhBACAHGNgakAAMAKekIAABHz+33mFolAoP7fe0OhsLnB2wghAICIaPjIzGgq/kAgor/LzGxe72VDwaCUVxwniHgcIQQAEHkvSCAgJeMnSHVxcdTXn5SbKzlzCkw7hBBvI4QAABpEA0hVYaHtzUAcI4QAiBtOTlLHBHhA7BFCAMQFpye/q2kDQOwQQgDEBUcnv1NMgAfEHCEEQPxwavI7xQR4QMwxWRkAALCCnhCXYgAe4F28voHPEUJciAF4gHfx+gb+iRDiQgzAA7yL1zfwT4QQt2IAHuBdvL4Bg4GpAADACkIIAACwghACAACsIIQAAAArCCEAAMAKQggAALCCEAIAAKwghAAAgPgIISdOnJCpU6fK1VdfLXl5efL0009/6bKjR4+Wjh071rm99tprjd1mAACQiDOmPvLII/Lee+/JkiVLZN++fTJp0iRp06aNDB48+Kxl9+zZIwUFBdK7d+/ax9LT0xu/1Ygf2R3ia70AAHeGkMrKSnnuuefkqaeeki5dupjbBx98IEuXLj0rhFRXV8vevXula9eu0qpVq2hvN+JAOBQU37DFjq4fAJAgIWTXrl1y6tQp6d69e+1jPXv2lEWLFkkoFBK//59Hd4qLi8Xn80m7du2iu8WIGz5/QApe2SWflFVGfd3tWjaTCYM6RX29AACXhpDS0lLJzMyUpKSk2seys7PNOJGKigpp2bJlnRCSmpoqEydOlM2bN8sll1wiY8eOlX79+kW3Arja67tLZce+w1Ffb5c2aYQQAEikEHL8+PE6AUTV3NfDL6fTEFJVVWUGr44cOVLWrVtnBqquWLHCHKKpL59PXMmt25WIdXihBkUd7uGFGrxShxdqiEkd2R1isu761BFJrRGFkOTk5LPCRs39lJSUOo+PGTNGRowYUTsQtVOnTrJjxw5ZuXJlRCEkK6uFuE1mZnPxAi/U4YUaFHW4hxdq8EodXqghFnWEHR5/V9OGE3VEFEJat24t5eXlZlxIkyZNag/RaABJS0urs6yODznzTJjc3FwpKiqKaAMPHjwi4fCFlwsE/DHbYcvLj0kwGHJk3dSReDUo6vB+DYo6Eq+GWNVR4ND4u9PH4NW3Du0JqW8HQkQhpHPnziZ8bNu2zcwTorZs2WJ6Nk4flKomT55sBqbOmjWrzsDWDh0i6zLSAFKfEBJrbtymRK3DCzUo6nAPL9TglTq8UEMs6njdofF3Z47Bi3YdEU1W1rRpU7nlllvkwQcflHfffVfWr19vJiv70Y9+VNsrouNAVP/+/WX16tXy4osvykcffSQLFiwwgeWHP/xhdCsAAACJMWPqlClTzPwg//Zv/yYPPfSQOeNl4MCB5nc6CHXNmjXm3/rY9OnTZeHChXLzzTfLxo0bZfHixdK2bdvoVwEAALw/Y6r2hsyePdvczrR79+4694cPH25uAAAAZ+ICdgAAwApCCAAAsIIQAgAA4mNMCAAgPma3BNyOEAIAMRSr2S2BeEAIAQCPXF1acYVpxBNCCADEWKxmtwTcjoGpAADACnpC3IqBawAAjyOEuBAD1wAAiYAQ4kIMXAMAJAJCiEsxcA0A4HUMTAUAAFYQQgAAgBWEEAAAYAUhBAAAWEEIAQAAVhBCAACAFZyiCwBokKTc3LhaL9yHEAIAiFg4GJScOQWOrh/eRwgBAETMFwjI/K3zpeRoSdTXnZOaI+N6jIv6euE+hBAAQINsKtkkO8t2Rn29nVt2JoQkCEIIACBxccVyqwghAICExBXL7SOEAAASElcst48QAgBIWFyx3C4mKwMAAFYQQgAAgBUcjgEANEhuem5crRfuQwgBAEQsGApKft98R9cP7yOEAAAiFvAHRDbMEKn4OPorz7hMAgMeiP564TqEEABAwxStF/l0e/TXe2k3EUJIQmBgKgAAsIIQAgAArCCEAAAAKwghAADACkIIAACwghACAACsIIQAAAArCCEAAMAKQggAALCCEAIAAKwghAAAACsIIQAAwApCCAAAsIIQAgAArCCEAAAAKwghAADACkIIAACwghACAACsIIQAAAArCCEAAMAKQggAALCCEAIAAKwghAAAACua2GkWABogu0N8rhvAORFCAMSFcCgovmGLHW8DLghuBMKEQQgBEBd8/oAUvLJLPimrdGT97Vo2kwmDOjmybi9yOhQSCBNDxCHkxIkT8tBDD8mrr74qKSkpcuedd5rbuRQWFsr06dPl/fffl/bt25u/u/LKK6Ox3QAS0Ou7S2XHvsOOrLtLmzRCiEtCIYEwcUQcQh555BF57733ZMmSJbJv3z6ZNGmStGnTRgYPHlxnucrKShk5cqQMGTJE8vPzZdmyZTJq1ChZt26dNGvWLJo1AAA8FAoJhIkjorNjNFg899xzMm3aNOnSpYvccMMNctddd8nSpUvPWnbNmjWSnJwsEydOlMsvv9z8TfPmzWXt2rXR3H4AAJAIIWTXrl1y6tQp6d69e+1jPXv2lO3bt0soFKqzrD6mv/P5fOa+/uzRo4ds27YtWtsOAAASJYSUlpZKZmamJCUl1T6WnZ1txolUVFSctezFF19c57GsrCz57LPPGrvNAAAg0caEHD9+vE4AUTX3q6ur67XsmctdiN8vEg5HdiyxaVJAnJCb3bzOdjmJOrxfg6KOxKtBUYf3a0jkOnyfHwCpF184XP+P+D//+c/y7//+7/Lmm2/WPrZnzx759re/LW+99ZZkZGTUPq6DUjt06CDjx4+vfaygoMAsv2jRovpvIQAA8KSIslnr1q2lvLzcjAs5/bCLnqqblpZ21rIHDhyo85jeP/MQDQAASEwRhZDOnTtLkyZN6gwu3bJli3Tt2lX8Z/TRdOvWTd555x2p6WjRn1u3bjWPAwAARBRCmjZtKrfccos8+OCD8u6778r69evl6aeflh/96Ee1vSJVVVXm3zpvyOHDh2XmzJlSVFRkfuo4kRtvvNGZSgAAQFyJaEyI0iChIURnTE1NTZWf/OQn8uMf/9j8rmPHjjJr1iwZOnSoua9BRWdM1XEg+judMfVrX/uaM5UAAABvhxAAAIBocPikIQAAgHMjhAAAACsIIQAAwApCCAAAsCIhQ4hOuLZ//35zCjEQLTqJ35nXUIIdOt5eX+cARILBoHlv0mk09AxXN0mYEKKnFOt8Jl//+tflG9/4hnzzm9+UXr16mSsCjxgxwsx5AufptYN0+v5+/fqZqyr/7Gc/M6dwnzmzrk6M52Yvv/yyzJgxQ1555RXzgaeXM9B6evfuLdddd508++yzEq+0jk8++UTiwc9//nM5evRo7f2TJ0/Kr3/9a/O61te5Ph86l1E8WLlypUybNs38W/epP/zhD2a+JX3Puummm2Tp0qXidjoFw+zZs83zEM/080Bf0//5n/9p7r/00kvmOdD9asiQIfLcc89JvNRx++23m0lC9bXQt29f8/rW18a9994rO3bsiK8L2MWr3//+97JgwQK56667zIeeXs235mJ6+oH39ttvy+TJk80bmgYSOOfRRx+V1157TSZOnGjeaPXDetiwYTJnzhz51re+Vbucm88c/93vficLFy40L2qdB+fFF1+UnTt3mnDVvn17+dvf/mbqqaysNNdQcqMpU6ZcMCg2b/75Rat07h83f7l44IEHzJxFav78+eaxRx55RC6//HIpLCw0tegkimPGjBG3euyxx0wIufPOO8193b/++Mc/yk9/+lP56le/aoL6b3/7W9N7O3r0aHGrUCgkGzduNDe9btgNN9wg8WbJkiXyH//xH9KnTx9Zu3at+XzQLxt33323+XJUXFwsc+fONfuUmz8vXnjhBcnPzzefe7rvf/rppybYaij5yle+Iq+//rr84Ac/kHnz5pkvhdaEE0BeXl543bp1511Gf9+3b9+wm23evLneN7fS/+O333679n4oFArn5+eHu3TpEl6zZo15rLS0NNypU6ewW11//fXhv/zlL+bfWotu6+uvv15nGb3fp0+fsFvdfffd4Y4dO4aHDx8enjx5cp2bPhdjx46tve9mWsOBAwdq73/rW98667Xu9udCXXfddeG//vWvtfcHDBhwVh1vvPGGWc7N9LXw6aefhhctWhS++uqrwzfddFN4+fLl4cOHD4fjRf/+/cPr1683/96zZ4/Zx1544YU6y2zYsCE8cODAsJsNHDjwrPelDz/80HweBoNBc3/lypXhm2++OWxTQvSEaGJt27bteZfRC+4dOXJE3Ey7/3UK/Av1FPh8PvPN3K3PxelXW9ZtnTRpkrn20IQJE8y1ibTL0810rIF+k1A9e/aUSy+9VLKzs+sso/ub2469nu7JJ580h5S0l0B7dO655x7TO6j0258+F+3atRO30/1HbzV0PzrztX7ZZZfJsWPHxM2096mmN0dddNFF0qpVqzrL6H0371M170u67aNGjTLfuP/0pz+Zfe3hhx+Wa665xhwK0B6q9PR0c9jSjXTsxBVXXFG77wQCAXNF+NPl5uZKWVmZuFlZWZn5XDudXkD24MGD5j1Mjwhce+215vClTQkxJkS7BPVwi3arnX4F4JruQ72w3tSpU2XQoEHiZs8//7wMGDDATIG/fft22bVr1zlvbg0gSsfhaFf5mS9g/dC77bbb5Be/+IV543IzfSPVrnE93KK067lLly61v//HP/5hDmHoh7ub6THu//qv/zKD1fQ493//939LvNEPvV/+8pfmcIYeFrvyyivlmWeeqf39iRMnzHOl4yrc/lzo4Qt9j1L6Ia5jKz777DNz/6OPPjKXvXD74Y3TA6EGDT10tGHDBvOa1hCiYxD0UKWGXrfS7dRDFPqFTw+7aDjXQ7AaFJV+hixatEiuuuoqcbPevXubS6yUlJTUvhZ0nEubNm1MADl06JA88cQT5jVjU0JM2647j76gV61aZUYJ6zfxmjEhmnr12/d3v/tdc5w8JSVF3Ey3+dZbbzU7mPYgxBs9K2ncuHHmukKLFy8+69uQjt3R4+EaDt0apj7++GMz1kMH4ekYlzMHgo0dO9a8sB9//PGzvs261V//+lfzhqXbrR8aq1evjoueEP3/1g8LHTOht7///e+mt+2tt96StLQ0E3r1wpv6IaLfwN38uq4ZCNmiRQvJycmRDz/80PTgJCcnmw8QPW6vH+Cn95i4TadOneTNN980H3LxSoOfjg/UL3q67+iYI9239PNDe0A1EOpnho6vcPM+VVZWZsaCaB0tW7Y044n0/UjHTenr/I477jA9axrga3p2bUiIEFJD/8O1p6DmNCV9cWt3lQ42cnv4OJ2+IDZv3izf//73JV7p4C59Qegb7rnq0w9Ctw7qVPqy0UHNZ4YM7ercu3evdO3a1RwaiCf6Qfib3/xG1qxZYwYM62GmeLRv3z7zbU9t2rTJHN6rGWTrdvrtdMuWLebsJO1p00MB2oWuZzfoAFW308GQ2qtTc2gvnumHtn4u1NSiQV17cvT56N+/v6vD4Onee+89sz/pIWPdj2rq0X1Ne6tsS6gQAgAA3CO+vqoBAADPIIQAAAArCCEAAMAKQggAALCCEAIAAKwghAAAACsIIQAAwApCCAAAEBv+P+XyqrAjIUADAAAAAElFTkSuQmCC"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 6
  },
  {
   "cell_type": "markdown",
   "id": "9f539660-bc37-4a7e-9b8d-e55f92c3d6e2",
   "metadata": {},
   "source": [
    "## （3）饼图"
   ]
  },
  {
   "cell_type": "code",
   "id": "b5e6483e-a10e-4f8a-9129-b89306bb1424",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:20.990178Z",
     "start_time": "2025-06-20T06:14:20.979350Z"
    }
   },
   "source": [
    "df3 = pd.DataFrame(\n",
    "    data=np.abs(np.random.randn(4, 2)),\n",
    "    index=list('ABCD'),\n",
    "    columns=['One', 'Two']\n",
    ")\n",
    "\n",
    "df3"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "        One       Two\n",
       "A  0.182793  0.339523\n",
       "B  0.930450  2.135449\n",
       "C  0.232379  0.557477\n",
       "D  0.071368  1.365834"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>One</th>\n",
       "      <th>Two</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>0.182793</td>\n",
       "      <td>0.339523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>0.930450</td>\n",
       "      <td>2.135449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>0.232379</td>\n",
       "      <td>0.557477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>0.071368</td>\n",
       "      <td>1.365834</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 7
  },
  {
   "cell_type": "code",
   "id": "b75d5d14-5449-4ce4-8258-940746aa26ec",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:21.177906Z",
     "start_time": "2025-06-20T06:14:21.018746Z"
    }
   },
   "source": [
    "df3.plot(kind='pie', subplots=True)"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<Axes: ylabel='One'>, <Axes: ylabel='Two'>], dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 8
  },
  {
   "cell_type": "code",
   "id": "972e29a9-df85-4ddd-bff8-9e33f1aa492f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:21.243810Z",
     "start_time": "2025-06-20T06:14:21.184927Z"
    }
   },
   "source": [
    "df3['One'].plot(kind='pie')"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='One'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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kXLXhG41GMwsXLkRISAh69OiB6Ohojx3NMGRc1T5GjGBOed+8M9HvytaHMnQmMm0mJH64Cll5NtkVeYQJ605qErZiqqxNmzYwm81ITEzErFmzoHhgtwGGjKvax6x4U3YVRPJEVYcyfDZyFB+0/2gtUrMZMAXScvIxYd0Jl45mzp8/j+3bt6N9+/bq6x07dlSny7Zt87wt4gwZV41ixHoMkTeKqAxlxDzkWYJwzyfrkJzO7fs3Gr/2BPJduJ1ZjGL8/PzQsmVL9fWmTZsiLCwMM2fOhKcxKZ44vtKb77oBJ9fIroLI/ULLQbl/KWwBUej6+QYcTs6UXZHH+leXmrivZRysLmg507t3b+zfvx8Wi+X3t9ntdgQHB2PdunXw9/eHp7DKLkD3o5gzWxkw5J2CoqCMnA9HYDT6fbWJAfM3xq0+jpEt4ko8f3TixAk1YF588UXceeedv7/96NGjeOKJJ7BkyRJ0794dnoLTZSVdi1n3sewqiNwvIALKiDlQQitg6IRt2HUmTXZFHu9i5lVM31byLgBiqiw8PBwDBw5EQkLC748uXbogPj5e3QDgSRgyxSVmGUWPssOLZFdC5F6+wVCGzYQSWQ0PTNyJDccvy65IN75dd6LEPc1EyIiRiq+v719+b9CgQVi/fj2Skz3nJl6uyZSkEeay1ziSIe/iEwBl6Az1PMzjU3bj113sNF5UP41uimZVIr2mgaZ3/Cu1oNiBHT/IroLIfSy+UAZOBGLvxAuzDjBgiumbtSUfzeiJ9/xLXcmeD+yZDmRfkV0JkXuYLVD6TQCqtMVbCw5h0uYk2RXp1qrDF3E2JccjD05qgSFTHBYfYPM42VUQuYfJBKXnF0CNrvhs5TH8b80J2RXpmqIA364/ob70BgyZ4qzFnNsJnNsuuxIit1C6vA/UG4jv1p/Ch4sPyy7HEKZtPQOb1vcAeAiGTHEuJdv0pewqiNyjw2swNbkf07adwatz9suuxlCtZhbtu+AVl5oxZIoqNw3Y53mtG4hc7u5ngLsex4I95/F/03fLrsZwftl2xis2ABj/X6jFgj+vViaja/YIkPgiVh++iIcncmpYC2uOXsLlLON/L2HIFHXBf+8vsqsg0lajkUCnt7DtVAqGT9gsuxrDsjsUTBdrMwafMmPIFEXmb0ASb74kA6vbH0q3j3DgXBr6fsnPda3N2H7W8FNmhmiQWb169T+9HhERod6z8PzzzyMoKMiFU2VTnfsPiYyoRlcovb/GqUvZ6Po5r65wh0PJGTh4Ph0JZUJgNplgRIaJ0M8++wxr167F6tWr8dVXX2H37t149913XTtVtodTZWRQVROh9P8eF9Jy0eHj1XAYewbHo0zdehpGZpiQERf2REVFISYmBg0aNMBDDz2EBQsWuO4dpCbxbAwZU8XmUAZNxpVsG9p9tBr5do7W3Wnh3guGHcUYKmRuFBAQ4Lons9uA3VNc93xEnqJcQyhDf0H6VQVtP1iN7DwOYdztXFouDpxPh8OgU/GGDJkrV67gxx9/RI8ePVzzhBYrd5WR8UTXhDJ8NrIdVrT7aA3Sc22yK/Ja8/acN2wvM0O0+hcL/+K+a3EVqfjn5OTkqJf6TJ06FZUqVSrZk4sPz+WjwOeNXVUukXylqqjXJl+1hKgBczY1V3ZFXi0hJhiLn2gNIzLE7jLhjTfeQP369dWQSUlJwU8//aRe4DNnzhxERkaW7Irlg3NdWSqRXGGxUEbNh80agi6frWfAeIDDyZk4k5KNChGBMBrDTJeJBX8xaomLi0PDhg3x1ltvqSOaEi/+i11lR5a4qkwiuYJjoIycB7t/JHp/tQnHL2bJroiumbf7vCEPZhomZG5kNpvVUY3dbi/ZE+VlAac3uaosInkCS0EZMRdKSDkMGr8Ve8+ly66IrrNkf7IhD2YaZrosLS0NFy9eVH+dlZWFCRMmqAGTmJhYsqmyo8ucL4n0zC8UyrDZUEpVxqjvd2DLyRTZFdENdpxORXaeDYG+hvm2rDLMv+axxx770/blOnXqYNy4cYiNjS3+k5oswNGlrimQSBafQChDpwPRtfDY5F3qzYzkmb3MNh6/gtYJUbCYjXNuxhAhc+jQIW2eWByQOr5Sm+cmcgern3rQEuUb49kZezFvzwXZFdFtrDt6SQ0ZIzHeBKArpZ0BUk/JroKoeMxWKP2/A+Ja4vV5BzF16xnZFdHfWH/skqFGMQJD5nYNMTlVRnplMqvNLlGtEz5aehQT1p2UXREVwsELGUjPyYeRMGRut3X5xGrZVRAVi9L9Y6BOH4xbewKfLj8quxwqwtnvtUcvGWorM0Pmdrh1mfTonv/AdMcI/Lz5NP4z/6DsaqgY6zJmA02ZMWRuJfuKc02GSE/a/gtoPha/7jyLf83cK7saKgZxI6mRujIzZG5GXKZxZqvsKoiK5q7HgdbPYvnBZPxj8k7Z1VAxHfktE1dtJTxE7kEYMjejOICzDBnSkSb3Ax1ew6bjl3Hfd/zc1ft5mf3n0g3TlZkhc6vW/rygjPSi/iCg6wfYczYNA/+3UXY15AI7klJhcxgjZAxxGFMT53bIroDo79XqCaXXFziWnIHun62VXQ25yO4zafAxSB8zY/wrXC3jPJB1SXYVRLdXrQOUvhNwNiUHnT7hdnsj2X0mFUbBkLmRaIZ5erPsKohuL64llIETcSkzD+0/XA2bcY5VEIATl7OQfdUYjXkZMjdzlusx5MHKN4IyZBrSchW0/XANcpkwhqMowP7zxriKgSFzI7MVSOb5AvJQMXWgDJ+NLJsFbT9cjUyD/LRLN78tM98AJ/8ZMjdz5bjsCoj+qnQ19dKxXPiiw0drkZJtrB5X9GfHL2Ua4lAmQ+ZGDjuQdlp2FUR/Fl5JvTY53xqEzp+ux/n0XNkVkcaOX8wyREdmhszNdpaJDsxEniKkLJRR82H3i0CPLzbi5OVs2RWRGxy/mAkjYMjcuNp26YjsKoj+EBipjmAcQTEY8L8tait48g6nU3IM0Y2ZIXM9Rz5wmW3RyUP4h0EZMQdKeEUM/3Ybtp82ztkJKlx7mTMpOdA7hsz1TBYg5YTsKogA3yAow2YCpatjzMRdWHfssuyKSILDyRlw6Ly9DEPmemYLd5aRfFZ/KIOnAmXr44npe7B4f7LsikiSc2m5sOu8USZD5kYMGZLJ4gNlwI9AxeZ4+dcDmLXjnOyKSKLf0nOh9/1lDJkbpZySXQF5K5MZSp9vgPh2eGfREfy4MUl2RSRZcnourDpvlKnv6l0tPxuw8fwBSWAyQenxOVCrB75YdQJfrTomuyLyAMnpV6F3DJnr5aTJroC8lNLpXaDBYPy4IQnvLTokuxzyoJGM3jFkrpdzRXYF5I3avQLTnQ9ixo6zePnXfbKrIQ+SnMGQMZbM32RXQN6m1VNAqyexaN8FPDV1l+xqyMOk59iQp/Mu2wyZ6++RyeZFZeRGd44B2r2MdUcv4aEft8muhjxUem6+d4ZMRkYGJk6ciDfeeANXrlzBihUrkJSk490wigPI5nQZuUnDoUDnd7AzKQVDvtkkuxryYFk6v86hWCFz+PBhdOzYEb/88gsmT56MrKwsLF68GD179sTmzTq+VZJrMuQOdfpC6fEZDl1IR68v1suuhjxcZq4XhowYvQwaNAgzZsyAj4+P+ra33noLgwcPxrvvvgvdtpThSIa0ltAJSp//IelyNjp/ukZ2NaQD6d4YMnv27EGvXr3+8vZ7770XR48e1W9LGY5kSEtV2kAZ+COS0/PQ4eM1cOh7PZfcJCM3H4qOW8sUK2RKlSqFEyf+2khy+/btiIyMhG7l8Z4O0kjsnVAGTUFKjh2JH67S/Y4hcp/Mqza1I7NeWYvzlx544AG8+OKLGDNmjJqwGzduxMyZM/H999/jiSeegK4X/4lcrWx9taNyRj7Q9oPVyM7j5xkVXtZVO/QbMcUMGTEtFh0djfHjx8Pf319dh6lcuTJef/11dOnSBbql2GVXQEYTVQPK8F+R47Ci3YerkZaj7/l1cr+sPJt6n6JXhYyQmJioPgyFk+TkSqWqQBk5F3nmQHT8eC0uZubJroh0yK7jqbIShcyGDRvUDQD5+X9dlHr00UehS5wuI1cJLa9em2zzDUO3zzYY4oZDksOheGHIvP322/jhhx9Qo0YNBAUF/en3TCYd337A6TJyhaAoKA+vh8kvBEeTs/Baz9qyKyIdi40I1PWdMsUKGXEIUwRNjx49YCgcyZAr1O0H+ASr2+Jrlg1V36TY7bCnpUHXk+skhTnAdO0HYLP3hIzFYkG9evVgOA6OZMgFDi2AqdPb2HBuAyoEV0D5wLIwW61wZGYhff48pC9ajKsHDsiuknQi6p+Po9R9o6FXxYrGIUOG4LPPPkN2tsHOlXC6jFwh5STy87ORlJGELjO7oNmUFvh8x+c4F2ZHqftHo8rMGYhfsRzRTz8N/7p1ZVdLns5sEXfa6VaxRjKiP9mOHTuwcOFC9fBlQWuZAsuWLYM+6fh/kjyKT+oZNI5prP46x5aDr3d/rT78zf4YXHMwesT3QOURwxF5/2jkJycjfcECZCxahJyduzilRn9ispjVzVUmbwqZPn36oHv37khNTUV4ePhfQka3fINlV0BGcXojKjccimCfYGTmZ/7+5lxHLibsm6A+fMw+GFB9APpU64OqQwYjcuRI2C5fvhY4i5G9bRu31RNgKfYmYI9Q5OonTZqEqVOn4tChP66IrV69OgYMGKA2yNQ1P4YMuci+WTDfMRx1o+qqazM3k+/Ix8QDE9WHxWRBv4R+6FutLxIGDkCpoUNhS01FxoKFSF+0CNlbtgB2Tud660jGpOP5skKHjN1ux8MPP4ytW7eqI5kHH3wQYWFh+O2337B371688847WLVqFb788kuYzfrcBQG/ENkVkFEcWwabPR8NohrcMmSuZ1fsmHJoivoww4ye8T3RP6E/avbtjYhB98Kenq6ObkTgZG3aBOTr+yIrKjxzYKA4GwLDh4zoSyY6LM+bNw9ly5b90+/17t0b999/P0aMGKGenxk5ciR0eTMmQ4ZcyJx9BY1iGhX57zngwMyjM9WH0LVyV9xb417U7tkN4f37wZ6ZiYwlS5CxeDGy1q2HksdOAkZmiSgltvRCrwo95BANMJ955pm/BEwB8Xbx++IMjS6JxVaGDLmQ+cIe1IuqB7OpZCP7eSfmYdiCYbjj5yZ4cuWT2JF5EIFdOiH2yy+RsGkjyr3/HkLat4fJz89ltZPnsJYu7R3TZeJq5b87G1OnTh2cPn0a+g0Z58E5Ipc4vBAB1dojPjweh1MOu+Qpl5xaoj6E1hVaY1jNYWjQIRFh3brBkZuLzBUrkb5wITLXrIFitCMGXspSqhT0rNAhExISguTkZJQvX/6Wf+bcuXPqXTO6JH5S4EiGXGnPNDi6vIsG0Q1cFjLXW3VmlfoQmpdrjhG1RqBRYitU6NwJjrw8ZK5ejQwROCtWwpGV5fL3T+5hiQiHV4RM27Zt8d///hfffPPNTYduYh/3F198od/OzGJKgyFDrpSbCkdeJhpGNcTUQ1M1fVdic0HBBgNxPmdk7ZFo0rIZyrdvDyU/H5lr1yFj0UJkLF8BR3q6prWQC1mtsNzQH1JvTEoh7/W8ePEi+vfvj9jYWHVnmZgaE7vLxNv37dunBkxaWhqmTJmi39HMkSXAxH6yqyAjeXAVLoSVQYfpHaS8+7ql62J0ndFoFtMEgeKHKIcDWRs2IH3BQmQuWwZ7aqqUuqhwLJGRSFi3Fl4RMsKFCxfw2muvYcWKFX96u9iy3L59e7zwwgvqZWa6lbwP+LKF7CrISDq+AbR4DG2ntsWlnEtSS6lZqiZG1x2NFjHNEOwfqgaOOH+jHv5cugz2y5el1kd/5VetGqrM+RVeEzIFLl++rI5exMhFjGbEqEa3o5fr5aYDb8fKroKMpEw9YMwaPLHiCSxNWgpPER8WrwZOq3J3IdQvTH1bzvbtzsBZsgS23y7KLpEABDZtgko//ACvCxlD+085II+LpOQ6+S/+hkmHJuP9re/DE1UKqaQGTuvydyPCPwImsxnZO3c6uw0sXgzb+fOyS/RaIfd0RIVPPoGe6bspjhbCKgAX/2iZQ1RS1owLxTqU6S6nMk7h5fUvq78uH1ReDZy21dogut7/Ieb555Czdx/S589XD3/mnzkju1yvO4ipOBxq8OsVRzI3+qkPcFSvXaTJI/X7FrZaPdBsUjNctV+FXkQFROH+uvejfcV2iPIvDZPFgtyDB68FzhLknTwpu0TDK/3IIyj98BiYdNyEWL/xqAWRt2EVZVdBRnNgLqxmK2pF1oKeXMy5iLc2v4V209ujzfREfL/ve6RUCEPU44+j6sIFqDJvrvpN0LdqVdmlGpZPbAVd9y0TOJK5nj0PWPcpsPx12ZWQkVh8YX/hAj7Z/gm+3fct9C7UNxSjao9C58qdUC6wDEwWK66ePImM+QvUBp5Xr+vQTiUTN3UKAkpwC7E4t3j27Fn11+J8Y0BAgNo1f+zYsWjVqhXcgSFzPbsN2PcLMONB2ZWQwdj/7zhWX9qNf6z4B4wk0BqoHvzsWqUrKgSWU6+ZzjtzxjmltmgRcvftl12iriVs3gRLaGiJQkY0Lu7SpQscDoe6I3jWrFn47rvv1IP1LVpof2SDIXOjpE3AhI6yqyCjGTUfaWXqoOXkljAqf6u/2kutW9VuiAuKhdnqg/wLF9TASV+0GLm7d/PWzyIwh4ai+uZNKAkRMo8++qh6Pcv1RDPjgwcPYs6cOdAa12RuFMn5ZdLA0eUI8wtDxRDjrvnl2nIxbs849JzVE01+bob3t7yPU/6ZiBg2DJWnTEb86lWIef55BNxxh+7XGdzBt1IlzZ574MCBOHz4ME6dOgWtMWRuFFQaCDTAwVLyLLunqP39RLNMb5DnyMP3+79H79m90WhyU/xn039wzHIZYYPvRdykiai2dg1iXnoJgXc21fVdKVryjYvT7LmrXtusIe4I0xpD5mZi6squgIwm7TRs+dloGN0Q3sbmsOHngz+j/5z+uGNSE7y6/lUcVpIROqAvKn3/PRLWr0OZV/+NILE+YOXRvetbyojmploQXfWFLDd05+b/6I0cdqBMHeCEs4U6kav4pJ3x6EOZ7iBu/Zx+ZLr6ELpX6a7e+lmrdy9EDBwIe0aGeuhTrOGIRp7efM20X/UEzUZ5mZmZ6svg4GBojSFzI7EwWYYjGdLAqfWo3HgUQnxCkJGfIbsajzDn+Bz1IXSK64TBNQajTveuCO/bF/asLGQsXYoMEThr13rdNdP+NWtqdtL/0LVt5tWqVYPWGDI3sliBst43pUFusG8m0HgU6kfXx9qz+m7froWFJxeqDyExNhFDaw1F/U4dEd6zJxw5OepdOOJOnMzVa6Dk5sLIzEFB8NGwo/0vv/yC2rVrq1e3aI0hczOR8YDFB7B771CdNHBiFWz2fDSIasCQ+RvLTy9XH0Kr8q0wrNYwNGzfGmFdu8Bx9SoyV4prphcha/UqOLKyDbke4yoZGRnqvV9i40lKSgqmT5+O+fPnY8KECXAHnpO5lS/vApL3yq6CDMbx1EFsyzqD+xbdJ7sUXWpapql6+LNx6YYI8A923vq5Zo3zErYVK+C4ttagdxFDBiPmhRdKPF1244l/cSVLrVq1MGbMGDRu3BjuwJHMrYh1GYYMuZj5/C7UrdIGFpMFdsUuuxzd2Xxhs/oQxLXWo+qMwp0tmqB8YiIUmw1Z69YjXVwzvWw5HGlp0KvAJk3US+VQwpBZvtw5GpSJI5lb9TDbPA5Y9C/ZlZDRNBoFdP8YA+YMwIErB2RXYxi1I2ur10w3L9MUQX7OWz+zNm1S78QRmwfsKSnQk2ob1sMaEQEjYMjcjPiQXNgNfH237ErIaPxC4XjuFN7e/LZ6doRcLyEiQb2i4K4yzRHiH6Z+PWdv2XrtmumlsF+Sew12YQ5hii7XRsGQud15GXEVM2/JJBezPZeExefW4dk1z8ouxfDiQuPwQN0HcHe5lgjzD1fflrNzpzNwFi+BLTkZnia8Xz+Uef01dQ3FCBgyt/NDL+D4CtlVkNE8sAK/RVRAu2ntZFfiVSoEV1ADp00Fcc10KXVRPWf37muBsxj5Z8/BE5R9+22EdesKk0G6HzBkbkVsX177EbDiTdmVkNG0fxVo+U+0n9Yeydme95O0NygbWFa9Zjoxti1KB0TCZLYgZ/9+5504InCSkqTVFr9qJXxiYmAUDJlbER+WM1uA8R1kV0JGE10LeGQDnlr5FBafWiy7Gq9X2r+0GjgdKrZHdECU85rpw4eRPn+BeidO3okTbqvFWrYsqq2QvyPMlRgyt+OwAW9X5LoMuVz+i8mYfHga3t3yruxS6DoRfhHqtuh7KnVE2cAY562fx49fu4RtMa4eOaLp+w/t1g3l338PRsKQ+TsT+wFHlsiugozmH7twQMnGgLkDZVdCtyB6zI2sMxKd4zqjfGBZ562fSUm/X8J29YDrt6CXefXfCO/TByYfHxgFQ+bv1mU2fQUsflF2JWQ0fb6BvU4fNJvUDLl2Y/fhMso108NrDUe3Kl0RG1RBDZz8c+eQNu/aNdN7XXNwu+qihZpeViYDQ+bvXDwE/Lep7CrIaGr2AAb+iFELR2Fr8lbZ1VAR+Jv9MaTWEHSv2h2Vgys6r5lOTnbuUlu0CDk7dxXrmmlrVBSqrVkNo2HIFMbHdYFUebtNyIDMVthfTMZnOz7H+L3jZVdDxeRr9sXAGgPRO743qgRXgsXHF7ZLl5G+wDmllrN9u7M9TCGEDxyAMq+8oll7f1kYMn9HfIIsfgHY+IXsSshgHM8cw5qUfXh02aOySyEXsJqt6Futr/pICK3qDJzUVLW1TfqiRcjesgWw37pfXew34xDUvLm6u81IGDKFCZmz24Dx7WVXQkYzYg4yyjdEi59byK6EXMwMM3rF90L/6v1RI6warD5+sKenq9cTZCxehKyNmwCb7Y8/HxSEhE0bDXMA83oMmcJQHMAHNYBMHpwjF7rrn0CHV9FjZg+cSHffWQxyv26Vu6nTarXDa8DH1x/2zExkLFnivPVz3ToEt2+PCh99CCNiyBQ2ZOY9DWzl3Dm5UEhZKE8ewMvrX8aso7NkV0Nu0qFSBwypOQR1I2rB1zcAjuxs2FNTYY2ONuRIxlgrTFoROVy7l+wqyGgyzsOen63elEneY8mpJRi5cCQa/dxUXY/bkXHAsAEjGPNf5WpmC1DpLiAgAsjR170U5NmsqafQpEwT2WWQJKvOrFI3DDRq2whGxZFMYZnMQPUusqsgozm1HhVDKyLML0x2JSRJ58qdYRMtrAyKIVNY4qrcWpwyIxfb84v6ol7perIrIQkCrAFoE9tGHc0YFUOmsMQnQXwiEBQluxIykqT1sNnz0DC6oexKSII2sW3gZ/GDkTFkisQENBgsuwgyGEvWJdwRc4fsMkiCAQkDYBe38BoYQ6ao6zKNR8uuggzGdG4n6pSuA6vJuFMm9FeVQiuhcZnGsIiNRQbGkCkKced2RCUgrpXsSshIDs1Xp0yql6ouuxJyo77V+hp6wb8AQ6Y47f8bjZRdBRnJvplwKA40iOZ5GW/hY/ZRQ8bIC/4FGDJFZfEBavV0npkhcoW8TDiuZnDx34u0q9gOoX6h8AYMmeIQc6j1B8muggzEeukIGsUY90Ae/dnA6gMNv+BfgCFTXE24AYBc6PhKlA4ojTJBZWRXQhqr5CUL/gUYMsXdZRYZD1RsJrsSMoo9U9UX7GNmfH29ZMG/AEOmJBsA7npcdhVkFBcPIT8/h4v/XnDCv2+Cdyz4F2DIlGQDgOhlFlVDdiVkED4Z59A4prHsMkjjUUywTzC8CUOmJOw2oOUTsqsgozi9BfHh8epPu2TMbcuj646GSXQO8SIMmZKwWIG6/YHwirIrISM48Ku6GCxO/5PxdK/aHZH+kTCJQ91ehCFTYgrQ4jHZRZARHFqgLgjzvIzxWEwWPFjvQSji+4WXYciUlFjAu2MEuzNTySkOmHNSGDIG1DGuI8oHl4dZ7Ez1Mt73L9aC2O/e7GHZVZABmJP3qSHjbfP2RmaCCWPqjVFbB3kjhoyrRjN3jgG8pE0EaejIEgT5BKFyWGXZlZCL3F3hblQJr+KVoxjBO//VWhA7gu58SHYVpHe7p0BRFE6ZGciY+mO8poXMzTBkXMVsBlo9ybUZKpmsi7DnZ/FQpkEkxiaquwW9pYXMzTBkXMniC7R5XnYVpHPWKyd5KNMAxKn+Z5o849WjGIEh4+q1GXHXTOkE2ZWQnp1ahwohFRDhx+sk9H61cvng8l49ihEYMq4mdpB0fF12FaRne6arL+pH15ddCRVTqG8oHm34qOwyPAJDRoueZgmdgLiWsishvTqzGfn2PHZk1rEH6j2AQGug153uvxmGjBZEG+973gL4CUbFZM38jZeY6ZSY6hxac6jXT5MVYMhotTZTth5Qp5/sSkinTOd2oHZkba9qCW8UTzZ6UnYJHoUhoxWHA+jwGuATKLsS0qND8+Fj8UHNUjVlV0JFIKY4O1TqwB8OrsOQ0fLcTHAMtzRT8eydoW595aFMfTXBfKnZS15162VhMGS0JOZkWzwKlOUCLhWRLRe4msFDmToyovYIVIuoxlHMDRgy7pg26/WFc52GqAgslw7zUKZOVAqthLENxnI32U0wZNxxsVl0TaA598xTER1bjgj/CJQLKie7EvqbLsuvtXjNaxtg/h1+VNxBfPK1/RdQqorsSkhP9kxVX3BdxrP1S+iHO2Lu4DTZLTBk3Bk0PT6XXQXpyeVjyM/P4bqMB4sJjFH7k4nO2XRzDBl3dgKIuwtoOEx2JaQjPulneSjTg73c/GX4mH24FnMbDBl3Ej/tdHobCOUcOxVS0iZUDa+qtighz9IprpN6IRmnyW6PIeNO4qcdqz/Qb4Jz+ozo7+yfpS4o14uqJ7sSumGaTIxivPVK5aLgdzoZu81i7wTufkZ2JaQHR5fC5shns0wPO3T5fuv3EWAN4I6yQuBHSAbxidnmOaDSXbIrIU+nOGDOTlF3L5FneKTBI+rIktNkhcOQkbk+0/87ILCU7ErIw5kv7EX9qPr8qdkDNC/bHA/UfYD/F0XAj5TMljMiYHp9LbsS8nRHFyPQJxBVw6rKrsSrRfpH4t273+U6TBExZGQSw+2EjkCzh2VXQp5s1xT1GxvPy8gjRi7vtX4Pwb7BvCemiBgynqDDG0A5nuqmW8i5AkdeFkNGovvr3q/2keM6TNExZDyBOMc18CcgMFJ2JeShrFdOsFmmJOLjzuaXxceQ8QTip6PgMsCgnwGLr+xqyBOdXIdyweXUdQFyn9iQWHyS+AnbxpQAQ8aTzs+UbwJ0/0R2JeSJ9kxRX9SPri+7Eq8R6huKr9p/pXZb4DpM8TFkPO02zQaDgbv+KbsS8jTndiDfdpWHMt3EarLi47Yfq6NHrsOUDEPGE7V/BajRVXYV5GGsmb+xWaabvNDsBfVjzYApOYaMp+o7ASjDflX0B9PZbagZWRO+Zq7baWl4reHqHTE8cOka/Ch6IvHJLdZohkwDgmNkV0Oe4uA8ta28CBrSRpvYNniq8VOyyzAUhoynEsP0wNLOoPENkl0NeYIDv8LusPO8jEZqlKqB9+5+T3YZhsOQ8WRiNBNTBxg0GbD6ya6GZLPlAlfTcEc0m2W6WuXQyhjXYZy6BsNpMtfiR9PTia2ToluzaKbJbZRez3LxEDsyu1iFkAr4ttO3assYLvS7HkNGD0S4JHQCen7hvPiMvNex5Qj3C1e/MVLJlQkqg+/u+Q5hfmEMGI0wZPRCDOHrDQS6fii7EpJp91T1Bc/LlFxUQJQaMJEBkQwYDTFk9ESMYhrfB3Tm4qTXSjmJ/PxsNIxmQ9WSiPCLwIR7JiAmKIYBozGGjB7d+SBwz5uyqyBJfFLPsFlmCdvFjL9nvDrlyIDRHkNGr5o/6gwartF4n9MbERcWh2CfYNmV6E6ITwjGdRyHymGVGTBuwpDRe9CIzQDcdeZd9s1Qt9mKe+ap8EQH6+86f4eEiAQGjBsxZPSu/r3AvZMAq7/sSshdjq2AzZ7Pxf8iKBtUFj91+QlVwqowYNyMIWOEXWfxHYDhswH/MNnVkJuYs6/wvEwRDlpO7DJR3a7MgHE/howRiOmyCo2BUQuB4GjZ1ZAbmC/sVqfLLCZOld5OvdL18FPXnxDhH8GAkYQhYxTiC6h0AnD/ciAiTnY1pLXDCxFgDUB8eLzsSjy62aU4yR9kDWLASMSQMVqvs5CywP3LgDJ1ZVdDWtozHQ7FwWaZt9A/oT8+afuJGi681VIuhowRg8Y/HBi9FKjVU3Y1pJXcVDjyMnko8wZi+lC06n+5+cswwcRmlx6A/wNGDRqLLzDgByDxJefmADIc6+XjPJR5HdF/7H8d/qdeOiaYeIbMI/C7j1GZr/3XtnoSGDyVO8+M6OQatS2K6MHl7apHVMf07tPVHXeuGr2kpaXh7bffRmJiIurXr4/OnTvju+++g8PhcMnzewuGjNGJL7iqbYGHVjs3BpDhmmXWj6oPb9a5cmdM7DpRDVtXLfCnpKSgf//+2Lt3L958803MnTsXjz32GL7++mv1dSo8brnwBuILL7QC8OBK4Jf7gUPzZVdErnBhN/Jtueq6zNKkpfDG9Zd/NvonRtYeqW6CcOX6ywcffABfX1+MHz8efn7OCwNjY2Ph7++PRx55BEOHDkXlypVd9v6MjCMZb1qn8QkABv0MtHmO6zQGYc1IRqOYRvD29RdXBkxeXh7mzZuHIUOG/B4wBdq2batOmZUvX95l78/o+J3GmxR8IbZ+Dhi1AAiLlV0RlZDp7DZUL1UdfhbvuZ67aZmmmNljpkvXX66XlJSE7Oxs1K3712MAYjNBs2bN1FEOFQ5DxhuJXTflGwNjNwF1+8uuhkriwK/qOkTtyNowOl+zL55p/Izapr+UfynNDlimp6erL0NCQjR5fm/DkPH26bO+3wB9xzvP1pD+HJwHu8Nm+EOZonPytO7TMLTWUPV1LQ9YhoeH/767jEqOIePNCqYaavcCxm4E4lrKroiKyp4H5KYZ9lCmOFA5ovYITO42GRVDK7rlcGXFihXVUcy+fftu+vsPP/ww1q9fr3kdRsGQIefus6AoYMQcoMNrzoOcpBuWiwdxR7TxOjKLrsniiuSnGj0FH7OP2/qPWa1WdOnSBRMnTlQ3AVxv+fLl6iM6mo1oC4shQ07iC1j8lNjiMeChNUBsU9kVUWEdWYZQv1BUCq0Eo4xeesX3wqyes9RpQBkn98WZmMzMTIwePRqbN29WNwNMmzYNzz33HIYPH474eDYmLSyToihKof80eQeHzRk6238AlrwM5KTIrohuJywWyj/34KV1L2H2sdnQ+9rLK81fUa8xcPXZl6I6f/48PvvsM6xduxapqanqNNq9996LQYMGwWJh083CYsjQ7cPmaiaw+AVg50SAnyoeK/9f5zH75Hy8uuFV6FGQTxDGNhiLwTUHQ3xLYmt+4+B0Gd2a+EL3DwV6/he4bzEQXUt2RXQLPqlJum2W2SmuE+b3no/BNQarp/gZMMbCkKHbK5iuKHcHMGYt0PENwDdIdlV0o6QNiAuLQ6hvKPR0LbJY2H+v9XsI9w/nvS8GxZChwp+rEd8Emj0C/GMn0GiUc6RDnmHfTPWFWMvQQ0uYJxo9gRk9Z/y+9Zr3vhgX/2epaETQBJUGun0EPLYdqNPX2UGA5DqxCjZ7nkeflwm0BmJMvTFY3HcxRtQaoU6LcWrM+Pg/TEVX8FNnWAWg3wSg1dPA0peBI0tkV+bVzNmXPfK8jOirNrD6QDxU7yEE+wZz1OJlGDJUfAVz6FEJwJDpwOnNwJKXgKSNsivzSubzu1C3Slt18dyu2GWXA6vJqp53GdtwrNprTJx/4W2V3oc/UlDJFUx5lL8DuG+RM3B4mNP9Di2En9VPvSVSJhFyXSt3xdw+c/Fy85fVgBGjFwaMd+I5GXI9u825UeDsNmDdp8DBOYBD/k/WhucXCsdzp/DO5ncw6eAkt7/7EJ8Q9Enoo97xEh0YLf0wJXkGhgxp3zkg7Syw4TNg+49AXqbsqgzN9lwSlpxfj/9b/X9ue58Vgiuohyj7JfRT1184LUbXY8iQ9tRPMQXIzwG2jAc2fQWkn5VdlTE9sAIXI2KROC1R83cldrKJDsltY9uqoxbuFKObYciQ+0c3MAH7Zzt7o51YBSgO2VUZR7t/A62eQPtp7ZGcnezypw+wBqBdxXYYVmsYakXWgs1hY7jQbTFkSA57PmDxATIuOPui7ZwEXD4quyr9E61/HtmAp1c+jUWnFrnkKcX0V+MyjdGjag/cE3ePGjR2h50n9KlQGDLkOWs3YqPAjp+AvTOA3FTZVelW/ovJmHx4Gt7d8m6JnicuNA7dq3ZXtyGLhXyOWqg4GDLkOcQONLFgLELnwDxg98/A8ZWA7arsyvTlHztxQMnFgLkDivxXw/3C0TGuI/rE90Ht0rUZLFRi/Owhz1Ew/SJu5qzZDajTG8jPBg4vdm6DFh0Fcnnv+t86sxUJdfqo01o5tpy//ePx4fFoXaG1uoBfN6run36PAUMlxZEM6efcjRjhiG4ChxcCRxYDFw/Jrswz1ewBDPwRoxaOwtbkrX/5bV+zL5qUaYLWsa2RGJuImKAYdY1FbDvmuRZyNYYM6UvBoU4x6kk/BxxaACStd4ZP2hnZ1XkGsxX2F5Px+c7/4ps936hvqhxWWb1vplWFVmhRtoXaGYBTYeQODBkyxi41ITMZOLnWGTinNwHJe72z04DFF46nj+DE1cs4mXZSHbWEim4AikO9dZK7wsidGDJkvKk1MeVjNjvXc85sBU6tBy7sBi4eBFJOGit4rP5AZDwQXRMo3wio2AyIqaMGrxipiO3HDBWSiSFDxiYOejoczjWdgpHPlePOUY4IHbGuI16Kt4nf81R+oc5u16WrA1E1gKjqQExtILTcH1cv2POcmyaIPAhDhryT2EQgPvMLwke8LtZ41MdZ5yFRMf2WcR7ISAYyLzhfuvr8jlgTCYoCgmOA4GggpIzzpfp6GWeIRMQ5L4oTxJerI9/597hITzrAkCG6kZhOE/exqNNuNyyMi9GC6MEmzu7YcoH8XEBsExZvy8sGbNnOt4kRlJjKsvoBPgGANeDay2tvs/o63+YX/OewUENEtN5RAJO48ppBQvrGkCFyJfHlpPZiEyFh5miDvB5DhoiINMMfs4iISDMMGSIi0gxDhoiINMOQISIizTBkiIhIMwwZIiLSDEOGiIg0w5AhIiLNMGSIiEgzDBkiItIMQ4aIiDTDkCEiIs0wZIiISDMMGSIi0gxDhoiINMOQISIizTBkiIhIMwwZIiLSDEOGiIg0w5AhIiLNMGSIiEgzDBkiItIMQ4aIiDTDkCEiIs0wZIiISDMMGSIi0gxDhoiINMOQISIizTBkiIhIMwwZIiLSDEOGiIg0w5AhIiLNMGSIiEgzDBkiItIMQ4aIiDTDkCEiIs0wZIiISDMMGSIi0gxDhoiINMOQISIizTBkiIhIMwwZIiLSDEOGiIg0w5AhIiLNMGSIiAha+X+T1U6nYKBn/wAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 9
  },
  {
   "cell_type": "markdown",
   "id": "5f804111-ec33-4638-9c89-cc49fe2e8213",
   "metadata": {},
   "source": [
    "## （4）散点图"
   ]
  },
  {
   "cell_type": "code",
   "id": "efe24e43-4f87-4ac6-a6e0-4a430b956142",
   "metadata": {
    "scrolled": true,
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:21.273566Z",
     "start_time": "2025-06-20T06:14:21.258573Z"
    }
   },
   "source": [
    "df4 = pd.DataFrame(\n",
    "    data=np.random.rand(50, 4),\n",
    "    columns=list('ABCD')\n",
    ")\n",
    "\n",
    "df4"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "           A         B         C         D\n",
       "0   0.939336  0.265444  0.601328  0.485270\n",
       "1   0.679657  0.465420  0.199025  0.656020\n",
       "2   0.135045  0.888239  0.291482  0.422949\n",
       "3   0.905160  0.075829  0.136102  0.619094\n",
       "4   0.676001  0.182555  0.545997  0.812966\n",
       "5   0.012322  0.538249  0.849448  0.167832\n",
       "6   0.718061  0.630519  0.670823  0.119081\n",
       "7   0.773614  0.240339  0.283804  0.687648\n",
       "8   0.123934  0.456120  0.465432  0.222747\n",
       "9   0.816961  0.827635  0.404623  0.907553\n",
       "10  0.116633  0.440929  0.568252  0.184398\n",
       "11  0.880698  0.280686  0.321256  0.486222\n",
       "12  0.916486  0.612033  0.309345  0.647858\n",
       "13  0.296609  0.515468  0.573445  0.128835\n",
       "14  0.744594  0.358180  0.184060  0.726687\n",
       "15  0.850012  0.851496  0.451542  0.494546\n",
       "16  0.574275  0.185010  0.128473  0.812697\n",
       "17  0.907943  0.602529  0.942430  0.703338\n",
       "18  0.970851  0.120416  0.670431  0.080157\n",
       "19  0.839922  0.709857  0.662830  0.729264\n",
       "20  0.460940  0.976003  0.980441  0.679193\n",
       "21  0.039372  0.814186  0.276249  0.230477\n",
       "22  0.501166  0.420209  0.052016  0.637832\n",
       "23  0.282473  0.621477  0.310534  0.243505\n",
       "24  0.480339  0.648103  0.710507  0.244342\n",
       "25  0.749287  0.463176  0.621709  0.560866\n",
       "26  0.771356  0.242633  0.131429  0.711481\n",
       "27  0.750000  0.338899  0.410800  0.354593\n",
       "28  0.080583  0.563234  0.713189  0.805302\n",
       "29  0.788304  0.210553  0.797746  0.278053\n",
       "30  0.367528  0.361107  0.253444  0.784818\n",
       "31  0.820574  0.207428  0.628616  0.995972\n",
       "32  0.691518  0.629831  0.787501  0.045144\n",
       "33  0.612564  0.602130  0.523679  0.380470\n",
       "34  0.986538  0.245217  0.415596  0.751676\n",
       "35  0.445111  0.250523  0.201314  0.238097\n",
       "36  0.999394  0.321383  0.721109  0.447305\n",
       "37  0.328464  0.347407  0.497597  0.310843\n",
       "38  0.726072  0.939429  0.892504  0.628388\n",
       "39  0.880913  0.816970  0.610826  0.297222\n",
       "40  0.851532  0.141879  0.398296  0.240110\n",
       "41  0.707848  0.039588  0.684166  0.431902\n",
       "42  0.278369  0.580918  0.176109  0.982881\n",
       "43  0.134354  0.024346  0.835681  0.579334\n",
       "44  0.280390  0.066453  0.051719  0.739252\n",
       "45  0.347358  0.694604  0.183521  0.256100\n",
       "46  0.040155  0.289781  0.349427  0.379366\n",
       "47  0.109745  0.410165  0.592901  0.168787\n",
       "48  0.256373  0.308954  0.393399  0.413336\n",
       "49  0.752087  0.962477  0.031973  0.719934"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.939336</td>\n",
       "      <td>0.265444</td>\n",
       "      <td>0.601328</td>\n",
       "      <td>0.485270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.679657</td>\n",
       "      <td>0.465420</td>\n",
       "      <td>0.199025</td>\n",
       "      <td>0.656020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.135045</td>\n",
       "      <td>0.888239</td>\n",
       "      <td>0.291482</td>\n",
       "      <td>0.422949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.905160</td>\n",
       "      <td>0.075829</td>\n",
       "      <td>0.136102</td>\n",
       "      <td>0.619094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.676001</td>\n",
       "      <td>0.182555</td>\n",
       "      <td>0.545997</td>\n",
       "      <td>0.812966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.012322</td>\n",
       "      <td>0.538249</td>\n",
       "      <td>0.849448</td>\n",
       "      <td>0.167832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.718061</td>\n",
       "      <td>0.630519</td>\n",
       "      <td>0.670823</td>\n",
       "      <td>0.119081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.773614</td>\n",
       "      <td>0.240339</td>\n",
       "      <td>0.283804</td>\n",
       "      <td>0.687648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.123934</td>\n",
       "      <td>0.456120</td>\n",
       "      <td>0.465432</td>\n",
       "      <td>0.222747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.816961</td>\n",
       "      <td>0.827635</td>\n",
       "      <td>0.404623</td>\n",
       "      <td>0.907553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.116633</td>\n",
       "      <td>0.440929</td>\n",
       "      <td>0.568252</td>\n",
       "      <td>0.184398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.880698</td>\n",
       "      <td>0.280686</td>\n",
       "      <td>0.321256</td>\n",
       "      <td>0.486222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.916486</td>\n",
       "      <td>0.612033</td>\n",
       "      <td>0.309345</td>\n",
       "      <td>0.647858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.296609</td>\n",
       "      <td>0.515468</td>\n",
       "      <td>0.573445</td>\n",
       "      <td>0.128835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.744594</td>\n",
       "      <td>0.358180</td>\n",
       "      <td>0.184060</td>\n",
       "      <td>0.726687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.850012</td>\n",
       "      <td>0.851496</td>\n",
       "      <td>0.451542</td>\n",
       "      <td>0.494546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.574275</td>\n",
       "      <td>0.185010</td>\n",
       "      <td>0.128473</td>\n",
       "      <td>0.812697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.907943</td>\n",
       "      <td>0.602529</td>\n",
       "      <td>0.942430</td>\n",
       "      <td>0.703338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.970851</td>\n",
       "      <td>0.120416</td>\n",
       "      <td>0.670431</td>\n",
       "      <td>0.080157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.839922</td>\n",
       "      <td>0.709857</td>\n",
       "      <td>0.662830</td>\n",
       "      <td>0.729264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.460940</td>\n",
       "      <td>0.976003</td>\n",
       "      <td>0.980441</td>\n",
       "      <td>0.679193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.039372</td>\n",
       "      <td>0.814186</td>\n",
       "      <td>0.276249</td>\n",
       "      <td>0.230477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.501166</td>\n",
       "      <td>0.420209</td>\n",
       "      <td>0.052016</td>\n",
       "      <td>0.637832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.282473</td>\n",
       "      <td>0.621477</td>\n",
       "      <td>0.310534</td>\n",
       "      <td>0.243505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.480339</td>\n",
       "      <td>0.648103</td>\n",
       "      <td>0.710507</td>\n",
       "      <td>0.244342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.749287</td>\n",
       "      <td>0.463176</td>\n",
       "      <td>0.621709</td>\n",
       "      <td>0.560866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.771356</td>\n",
       "      <td>0.242633</td>\n",
       "      <td>0.131429</td>\n",
       "      <td>0.711481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.338899</td>\n",
       "      <td>0.410800</td>\n",
       "      <td>0.354593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.080583</td>\n",
       "      <td>0.563234</td>\n",
       "      <td>0.713189</td>\n",
       "      <td>0.805302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.788304</td>\n",
       "      <td>0.210553</td>\n",
       "      <td>0.797746</td>\n",
       "      <td>0.278053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.367528</td>\n",
       "      <td>0.361107</td>\n",
       "      <td>0.253444</td>\n",
       "      <td>0.784818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0.820574</td>\n",
       "      <td>0.207428</td>\n",
       "      <td>0.628616</td>\n",
       "      <td>0.995972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.691518</td>\n",
       "      <td>0.629831</td>\n",
       "      <td>0.787501</td>\n",
       "      <td>0.045144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>0.612564</td>\n",
       "      <td>0.602130</td>\n",
       "      <td>0.523679</td>\n",
       "      <td>0.380470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>0.986538</td>\n",
       "      <td>0.245217</td>\n",
       "      <td>0.415596</td>\n",
       "      <td>0.751676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>0.445111</td>\n",
       "      <td>0.250523</td>\n",
       "      <td>0.201314</td>\n",
       "      <td>0.238097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>0.999394</td>\n",
       "      <td>0.321383</td>\n",
       "      <td>0.721109</td>\n",
       "      <td>0.447305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>0.328464</td>\n",
       "      <td>0.347407</td>\n",
       "      <td>0.497597</td>\n",
       "      <td>0.310843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>0.726072</td>\n",
       "      <td>0.939429</td>\n",
       "      <td>0.892504</td>\n",
       "      <td>0.628388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>0.880913</td>\n",
       "      <td>0.816970</td>\n",
       "      <td>0.610826</td>\n",
       "      <td>0.297222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>0.851532</td>\n",
       "      <td>0.141879</td>\n",
       "      <td>0.398296</td>\n",
       "      <td>0.240110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>0.707848</td>\n",
       "      <td>0.039588</td>\n",
       "      <td>0.684166</td>\n",
       "      <td>0.431902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>0.278369</td>\n",
       "      <td>0.580918</td>\n",
       "      <td>0.176109</td>\n",
       "      <td>0.982881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>0.134354</td>\n",
       "      <td>0.024346</td>\n",
       "      <td>0.835681</td>\n",
       "      <td>0.579334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>0.280390</td>\n",
       "      <td>0.066453</td>\n",
       "      <td>0.051719</td>\n",
       "      <td>0.739252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>0.347358</td>\n",
       "      <td>0.694604</td>\n",
       "      <td>0.183521</td>\n",
       "      <td>0.256100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>0.040155</td>\n",
       "      <td>0.289781</td>\n",
       "      <td>0.349427</td>\n",
       "      <td>0.379366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>0.109745</td>\n",
       "      <td>0.410165</td>\n",
       "      <td>0.592901</td>\n",
       "      <td>0.168787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>0.256373</td>\n",
       "      <td>0.308954</td>\n",
       "      <td>0.393399</td>\n",
       "      <td>0.413336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>0.752087</td>\n",
       "      <td>0.962477</td>\n",
       "      <td>0.031973</td>\n",
       "      <td>0.719934</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 10
  },
  {
   "cell_type": "code",
   "id": "f06d5844-fcc5-4d7b-8133-1f9bb7917484",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:21.423838Z",
     "start_time": "2025-06-20T06:14:21.301964Z"
    }
   },
   "source": [
    "df4.plot(kind='scatter', x='A', y='C')"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='A', ylabel='C'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 11
  },
  {
   "cell_type": "code",
   "id": "74ef0237-dd56-45d1-9e5c-adaf37860e4a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:21.577798Z",
     "start_time": "2025-06-20T06:14:21.439945Z"
    }
   },
   "source": [
    "df4.plot(x='A', y='C', kind='scatter', color='DarkBlue', label='Group 1')"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='A', ylabel='C'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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PgejQ1/ahr+3lxv7WMFPd8M3YscutS6G4TXZ2kxpuT3NtX3tVwMG+dmxSsC691iCzbt26ynM66bdjx45WYAnVrFkz2bZtW9i57du3y1lnnWVbewHAy3SISSszOlxT3fCNG1cP5eQ0tSpIiYnhkyz0WM/n5HDZFj9xLNA0atTIWoY9efJk2bBhgyxfvtzaWO/mm2+urNaUlJRY/3/DDTfIvHnz5I033pCdO3daQ1BanRk8eLBTzQcAT9mx42DE2/UitW6Un99XevVqEXZOj/U8/MXRi1PqxF4NNKNGjbKWYY8fP1769+9v3aY7Bz/xxBMyZMgQa5XT4cOHrZVN3377rVXd0c34ajshGABQt+GbVq3cWe3QuT06HKYVJA1d2k4uqOtPCYGAv0YWCwvrNyk4Kyu1Xo+B6NDX9qGv7eXm/tb9W3TOTOiwkw7faMXDjXNoTO5rr0mIY18HH7smXJwSAGBh+AYmc3TICQDgHgzfwGQEGgBAGA0xBBmYhiEnAABgPAINAAAwHoEGAAAYj0ADAACMR6ABAADGI9AAAADjEWgAAIDxCDQAAMB4BBoAAGA8Ag0AADAegQYAABiPQAMAAIxHoAEAAMYj0AAAAOMlOd0AAABgtm3biuWTT/ZJRkaytG6d5kgbCDQAAKBOiopKZNy4Alm5ck/lucsuO0vy8/tK06YpYieGnAAAQJ1omFm16uuwc3qcl7dc7EagMbzEV1CwS7766genmwIA8OF70MqVe+T48UDYeT3W83a/NzHkZCA3lfiAeP2i3LHjoLRqlebYeDyAyPTfaCTbt/9g679fAo3HSnxz517lWLuA+iKsA+bIzm4S8Xb9QGInhpwM47YSH+DV8XgAkeXkNLU+cCQmJoSd12M9b3d1lUDjwRIfYCLCOmCe/Py+0qtXi7Bzeqzn7caQk2HcVuIDvDoeD6BmOhSsUx30A8eBA2WO7kNDhcYwbivxAbFCWAfMlZOTJldc0dr66hQCjYHcVOIDYoWwDqA+GHIyvMSnZXiWtsIrNJTrBODQVU6EdQDRINAYTEMMQQZeQlgHUFcEGgCuQ1h3NzY+hBsRaAAAUWHjQ7gZk4IBAFFh40O4GYEGAFAjNj6E2xFoAAA1YpdyuB2BBgBQ740Pdb+ggoJdVGo8Uo0rMPC5ZFIwACDqjQ91zkzosJMGmbS0ZLnhhsWV55gobKYiwyd9U6EBANR5l3INM8XFpZ6eKGxqxcJvk76p0AAA6rTxoVZnQisz1U0UNnmfGtMrFnWZ9G3yc0mFBgBQK/rG1qdPyyornrw2Udj0ioXfJn0TaAAAdeLlK6T7bZl6tgeeSwINAKBOvHyFdC9ULPz2XBJoAAAxnSjshSuke6Fi4bfnkknBAIA68+oV0iMtU9c3eS/8Hb32XBJoAAD15sUrpGtlQicAh67+Mali4bfnkkADAIAHKxZ+Q6ABAMCDFQu/YVIwAAAwHoEGAAAYj0ADAACMxxwaAIBv6Y7AuokeE37NR6ABAPiOny486RcMOQEAHK2QFBTssv3aSH668KRfUKEBAPiqQhK88OTJQi88yfCTeajQAABs52SFxG8XnvQLAg0AwFbBCknoNZJOrpDEkx8vPOkHBBoAgK2crpAELzypF5oMpcd6Pp7DTU7NGfID5tAAAGzlhgqJ3ReeZFVV/BFoAAC2ClZIdM5M6LCTVkg0VNgxIdfuC09GmjOk7YDhQ06lpaUyadIk6d69u+Tm5sqMGTNOed8vvvhCRowYIZ06dZKBAwfKRx99ZGtbAQCxo5UJDS+h4lkhORUNMX36tIz7MJMTc4a2+Wx4y9EKzdSpU2Xjxo0yc+ZM2bt3r0yYMEHOPPNMGTBgQNj9Dh06JLfccov07t1bpkyZIosWLZLbbrtNli1bJpmZmY61HwBgRoXE7XOGYvl3L/Lp8JZjFZojR47I/Pnz5d5775X27dtLv379ZMyYMTJ79uwq9124cKGcfvrpMnnyZDn77LPl9ttvt75qGAIAmMuOConf5gyN8+mmgY4Fms2bN0t5ebl06dKl8ly3bt1k/fr1UlFREXbf1atXS58+fSQxMbHy3IIFC+TSSy+1tc1e4bcyJAA4yc5VVdscXhLvyyGnffv2SXp6uiQnJ1eey8rKsubVFBcXS0ZGRuX53bt3W3Nn7r//flmxYoW0aNHCGp7SAFRbCeGvpzp9b30ew0lahszLq1qGnD7dfWVI0/vaJPS1vehvf/a1/p4dO7bqqio9H8v27YhieCsnJ82ovo72MR0LNEePHg0LMyp4XFZWVmV4avr06XLzzTfLCy+8IG+99ZaMHj1alixZIr/61a9q9XMzM1Pr3fZYPIYTbrppWbVlyNtue1eWLr1e3MjUvjYRfW0v+ttffZ2VlSorVgyXLVuKZOvWImnTJl3atk2P+c/p2jXye2K3bmdabfFiXzsWaFJSUqoEl+Bxw4YNw87rUFO7du2suTPq/PPPl/fff9+aHDxu3Lha/dz9+w9JILwSV6uUqE9WfR7DKVqGXLZsR5XzWobU8x9/vCcuqb2uTO5r09DX9qK//d3X6elJcuGFZ1j/X1h4KOaPn5FxWsQl8frz4/Fz49nXwcd2baBp3ry5FBUVWfNokpKSKoehNMw0aRI+geqMM86Q1q1bh53Lzs6Wb775ptY/Vzu6vp0di8ew2/bt9s6yjxUT+9pU9LW96G/7+K2v8yNsGhjvfnCyrx0LNFpx0SCzbt06ax8atWbNGunYsaM0aBA+V/mCCy6QTz75JOzcV199JVdffbWtbTaZG3bmBADEX1MfLYl3xSqnRo0ayaBBg6yl2Bs2bJDly5dbG+vpPJlgtaakpMT6/+HDh1sb6z333HOyc+dOefbZZ62Jwtdee61TzTeOk9cuAQDYr7UPlsS7ZqfgiRMnWnvQjBo1Sh566CEZP3689O/f37pNdw5evHix9f+6quk///M/ZeXKlVZVRr/qJGEdtoJ5O3N6EUvhAcBZCYGAn0YWT0zCqs+kYJ0dXp/HcAMTypCm9LUXduQ0pa+9gv62D33tjb4OPrarKzRwvgxJZaF+/LojJwC4DVfb9ikvVBacFtyR82ShO3K6tQIGAF5DhcanqCzYsyMnAMAeBBof8vO1PmKJpfAA4B4EGh+ishAbLIUHAPcg0PgQlYXYYSk8ALgDk4J9XFk41bU+qCxEz687cgKA21Ch8SkqC7Hltx05AcBtqND4FJUFwN90cYDOp+PfPryCQONz+ouMX2aAf7AHFbyKIScA8BH2oIJXEWgAwCfYgwpeRqABAJ9gDyp4GYEGAHyCPajgZQQaAPAJdreGlxFoAMBH2IMKXsWybQDw0Z4w7EEFryLQAIAP94RhDyp4DUNOAOAQ9oQBYodAAwAOYE8YILYINADggO3b2RMGiCUCDQA4oFUr9oQBYolAAwAOYE8YwOFAs3PnTjl27FjYuQ8//FC2bdsWy3YBgOexJwzgwLLtQCAgjz32mLz66qvy0ksvyUUXXVR52yuvvCIrV66UUaNGyYQJEyQhIfwTBwCgKvaEARwINC+//LIsXrxYnn/++bAwo/793/9dVqxYIRMnTpSWLVvKyJEjY9hEwNvs3FQN7sSeMICNQ07z5s2T+++/Xy677LJqb+/du7fcfffdMmfOnBg0C/DHpmrDhr0lF188V0aMWCI9e75mHRcXlzrdNADwbqD5+uuvpVOnThHv07NnT9m9e3cs2gV4HpuqAYADgSYzM9MKNZF8++230rRp01i0C/A0NlUDAIcCTb9+/eS5556rssIpqLy8XKZNmya5ubmxbB/gSTpnJhI2VQOAOE0KvvXWW+X666+XIUOGyG9/+1vp0KGDpKamyg8//CCff/65zJo1Sw4fPixTp06tZRMA/8nOZlM1AHAk0DRp0sSaGPz000/LlClT5OjRo5XLuTXYXHnllTJ+/HjJysqKaQMBL2+qpnNmQoeddFM13YeEFS8AUDsJAU0ktVRWVmZN/j148KA1Z0aXaicmJooJCgsPSe3/xifo9jpZWan1egxExw99rauZdAKwzpkJ0pCjm6rp/iR28UNfuwn9bR/62ht9HXzsmFVoQiUnJ0tOTk5dvhXAT9hUDQBip06BBkDssKkaANQfF6cEAADGo0KDSmzBDwAwFYEG1hb8umut05NTAQCoK4acwBb8AADjEWh8ji34AQBeQKDxObbgBwB4AXNofI4t+AGg9lhE4T4EGp9jC34AiB6LKNyLISdY/xA1vITSYz0PAPgZiyjciwoN2IIfAGqxiOJkoYso+N3pHAINKrEFPwDUbxEFv0Odw5ATAABRYBGFuxFoAACoxSIKXTQRSo/1PNUZZxFoAACIEoso3Is5NAAARIlFFO5FoAEAoJZYROE+DDkBAADjEWgAAIDxCDQAAMB4zKEBAADGX5STQAMAAIy/KCdDTgAARz/xFxTsspZBw73GGXBRTio0AADbmfCJH9FflDMnx/nhJyo0AABffuKnOhS7i3K6gaOBprS0VCZNmiTdu3eX3NxcmTFjRo3fs2fPHunSpYt8/PHHtrQRABCfT/z6Cf9Un/jjXR0aNuwtufjiuTJixBLp2fM167i4uDSuP9dU2YZclNPRQDN16lTZuHGjzJw5Ux588EGZNm2aLF26NOL3TJ48WY4cOWJbGwEA3vrEH6vqkF8qPDmGXJTTsTk0Gkrmz58vL7zwgrRv3976s2XLFpk9e7YMGDCg2u/55z//KYcPH7a9rQAAb3zij2Y+SE1v0H6c/5Of39cKfKF/Z7ddlNOxCs3mzZulvLzcGj4K6tatm6xfv14qKiqq3L+oqEieeuopefjhh21uKbzML5+wADdx8hN/LKpDbpj/49RFOT/6aLjMmXOF9VWP3RTgHKvQ7Nu3T9LT0yU5ObnyXFZWljWvpri4WDIyMsLuP2XKFBk8eLC0bdu2Xj83IaH+31ufx4A7+lo/YeXlVf2ENX26dz9hnQqva3vR3yfov7WxY6t+4tfzseqb6vq6Vauaq0ORfr4pK37iRf9u1f394vm6jvYxHQs0R48eDQszKnhcVlYWdv6DDz6QNWvWyJtvvlnvn5uZmeqKx4CzfX3TTcuq/YR1223vytKl14sf8bq2l9/7OysrVVasGC5bthTJ1q1F0qZNurRtmx73vtafe/nl2bJ8+c6wSclaHerb92zp0eOsiI/1ySf7It5+4ECZ9Ojh3+c208HXtWOBJiUlpUpwCR43bNiw8lxJSYk88MAD1qTh0PN1tX//IQmET6yvVUrUJ6s+jwHn+1o/YS1btqPKef3lpuc//niPpz9hnYzXtb3o73Dp6Uly4YVnWP9fWHjIlr6eNu031VaH9HxNbcjIOK2G25Nj/vfw++s64afHdm2gad68uTUvRufRJCUlVQ5DaWhp0uTnkuCGDRtk9+7dcvvtt4d9/x/+8AcZNGhQrefUaEfXt7Nj8Rhwrq+3b695DN0ts/btxOvaXvS3c32dlnZiPogOD+m/99DrEtX0nLRufWL+j1Z0T67waCjSx/Hz8xpw8HXtWKBp166dFWTWrVtn7UOjdFipY8eO0qDBz3OVO3XqJG+//XbY9/bv318effRRueSSS2xvN8xnyp4KAOJLw0ddPryYsOLHjxwLNI0aNbIqLLqvzOOPPy7ff/+9tbHeE088UVmtSU1NtSo2Z599drUVnszMTAdaDq+ssIj0CQsAalrxU12FBz7dWG/ixInW/jOjRo2Shx56SMaPH29VX5TuHLx48WInmwcP009SGl5C8QkLQG1oiOnTpyVhxiUSAgF/jfbpZK36TArWGfL1eQy4q6/5hMXr2m70t33oa2/0dfCxa8LVtuFrdR1DBwC4C1fbBgAAxiPQAAAA4xFoAACA8Qg0AADAeAQaAABgPFY5OUCvJaSXsPfzUmEAAGKJQGOjoqISGTeuIGy7bN2xVjdz050nAQBA3TDkZCMNM7rdfig91muCAACAuiPQ2DjMpJWZ0GsHKT3W87pjLQAAqBsCjU10zkwkuv0+AACoGwKNTbKzm0S8XScIAwCAuiHQ2CQnp6k1ATgxMSHsvB7reVY7AQBQdwQaG+lqpl69WoSd02M9DwAA6o5l2zbSpdlz515lTQDWOTPsQwMAQGwQaBygIYYgAwBA7BBoAACwCTvFxw+BBgCAOGOn+PhjUjAAAHHGTvHxR6ABACCO2CneHgQaoJa/mAoKdvELCEDU2CneHsyhAaLA+DcAN+wUz6TiU6NCA0SB8W8ATu4Urx+qhg17Sy6+eK6MGLFEevZ8zTouLi6NY8vNQqABasD4NwCnd4rnQ1XNGHICYjD+TekXQLx2ig9+qDpZ6Ieq1vwOItAANeFK6QCc3CmeD1XRYcgJqAFXSgfgJD5URYdAg4hYpnwCV0oH4BQ+VEWHISdUi2XK4bhSOgAn6e9enQAc+juZD1XhCDSo9Yx6fWP3K66UDsAJfKiqGYEGVTCjHoAbsakcH6oiIdCgCmbUA3AThsARDSYFO8DtE22ZUQ/ATdhUDtGgQmMjUz5lBGfU6y+M0N1xdUa9TkKjOgPALgyBI1pUaGxk0qcMlikDcAOuVI1oUaGxiWmfMphRD8ANGAJHtKjQ2MTUTxkaYvr0aUmYAeAINpVDtAg0NuFTBgDUDUPgiAZDTjZhoi0A1A1D4IgGFRob8SkDAOqOIXBEQoXGRnzKQLywgyoAvyPQOICtq+G3vY0AIN4YcgIMZtLeRgAQTwQawPC9jUInmZ+8txEA+AWBBjCUqXsbAUA8EGgAQ7G3EQD8jEADGIodVAHgZwQawGDsbQQAJ7BsGzAYexsBwAkEGsAD2NsIgN8x5AQAAIxHoAEAAMYj0AAAAOMRaAAAgPEINAAAwHgEGgAAYDwCDQAAMB6BBgAAGI9AAwAAjOdooCktLZVJkyZJ9+7dJTc3V2bMmHHK+7777rty7bXXSpcuXWTgwIFSUFBga1sBRG/btmIpKNhlXZIBADx/6YOpU6fKxo0bZebMmbJ3716ZMGGCnHnmmTJgwICw+23evFluu+02ueeee+TSSy+V9957T+644w75xz/+Ieedd55j7QcQrqioRMaNK5CVK/dUntMrf+vFMvW6U3Bn+Nyx4yDXAYPxHAs0R44ckfnz58sLL7wg7du3t/5s2bJFZs+eXSXQvPnmm9KzZ0+5+eabreOzzz5bVqxYIUuWLCHQAC6iYWbVqq/DzulxXt5y6yKacA/CJ7zGsUCjVZfy8nJrCCmoW7du8re//U0qKiqkQYOfR8MGDx4sx44dq/IYhw4dqvXPTUioe5uD31ufx0B06Gvz+lo/6Ye+OQYdPx6wzuvwU04OFQC3vLYjhc9587wRPt3S136QEMe+jvYxHQs0+/btk/T0dElOTq48l5WVZc2rKS4uloyMjMrzOTk5Yd+rlZwPP/xQhg8fXuufm5mZWs+Wx+YxEB362py+/uSTfRFvP3CgTHr04Pl0w2v7yy8PRAyfRUXl0rZtungFv0f80deOBZqjR4+GhRkVPC4rKzvl9x04cEDGjx8vXbt2lT59+tT65+7ff0gCgbqnRH2y6vMYiA59bV5fZ2ScVsPtyVJYWPuqqte44bW9du03EW9fs2avpKc7OsXSM33tFwlx7OvgY9fEsVdsSkpKleASPG7YsGG131NYWCi///3vJRAIyF//+tewYaloaUfXt7Nj8RiIDn1t36TN+vZ169ZNrTkYOmyhn/SDEhMTpFevFlbb/f5cuuW1nZ3dJOLt+lqLd9vsnIzM7xH7ONnXjgWa5s2bS1FRkTWPJikpqXIYSsNMkyZV/7F99913lZOCX3755bAhKcCLTJy0qW3TORihbdYwo+fhHjk5NYfPeDHxdQ0zOLYPTbt27awgs27duspza9askY4dO1apvOiKqDFjxljnZ82aZYUhwOsiTdp0K31D0tVMH300XObMucL6qse8UbmPBggNL6HsCJ8mvq5hBscqNI0aNZJBgwbJ5MmT5fHHH5fvv//e2ljviSeeqKzWpKamWhWb/Px82bVrl7zyyiuVtym9Te8DeG2vjmhWDLl5zxBtm5vbh5/Dp76Wtm//wZbXtumva7ibo7O+Jk6caAWaUaNGSePGja3Jvv3797du052DNdwMGTJEli1bJiUlJTJ06NCw79fl3FOmTHGo9fADp8rjGp4i0TcgfvHDtPDJ6xqeDTRapXnyySetPyf74osvKv9/6dKlNrcMcHajuGgmbQKm4XWNeOLilEAN5fHQSZMnl8fjPWlTJ2mG0mM9z6dYmIjXNeKJQAPUozzuxUmbQDzxuka8mL9zEuDR8rgTkzaBeON1jXgh0AAu3KsjFCuG4EW8rhFrDDkBEVAeBwAzUKEBIqA8DgBmINAAUaA8DgDuxpATAAAwHoEGAAAYj0ADAACMR6ABAADGY1IwAAAuvfyK7ljO6sroEGgAAHCRoqIS68K4es24IN3kU/e/0q0kUD2GnAAARlQrCgp2xfWisG6hYUZ3KA+lx3l5yx1rkwmo0ABAPTAsEF9+q1bo6yn07xqkl1/R8xroeJ1VjwoNANTxjXbYsLfk4ovnyogRS6Rnz9es4+LiUqeb5il+q1ZoOI5EdyxH9Qg0AFAHfnujdbJaEXpx2JOrFV6Tnd0k4u1aCUT1CDQAUEt+fKN1gh+rFTk5Ta0htcTEhLDzeqznGW46NQINANSSH99oneDXaoXOD+rVq0XYOT3W8zg1JgUDQC359Y3WqWqFDuWFVsO0WqFv8F6tVuhk57lzr7IqfRqOmXAeHSo0AFBLDAvYx8/VCn0d9enTktdTlKjQAEAd6BuqTgAOXWLrlzdaO1GtQLQINABQB7zR2kv7lv5FJAQaAKgH3mgBd2AODQAAMB6BBgAAGI9AAwAAjEegAQAAxiPQAAAA4xFoAACA8Qg0AADAeAQaAABgPAINAAAwHoEGAAAYj0ADAACMR6ABAADGI9AAAADjEWgAAIDxCDQAAMB4BBoAAGA8Ag0AADBektMNAEyxbVux7NhxUFq1SpPWrdOcbg54TgCEINAANSgqKpFx4wpk5co9lecuu+wsyc/vK02bpjjaNr/iOQFwMoacgBroG+eqVV+HndPjvLzljrXJ73hOAJyMQAPUMKShVYDjxwNh5/VYz3/11Q+Otc2veE4AVIdAA0Sg8zMi2b6dN0+78ZwAqA6BBoggO7tJxNt1MirsxXMCoDoEGiCCnJym1mTTxMSEsPN6rOdZWWM/nhMA1SHQADXQlTO9erUIO6fHeh7O4Dnx3ryogoJdzH9CvbBsG6iBLgOeO/cq65etzs9gzxPn8Zx4A8vvEUsEGiBK+obJm6a78Jx4d/m9BlagNhhyAgDYjuX3iDUCDQDAdiy/R6wRaAAAtmP5PWKNQAMAsB3L7xFrBBoAgCNYfo9YYpUTAMARLL9HLBFoAACOYvk9YoEhJwAAYDxHA01paalMmjRJunfvLrm5uTJjxoxT3nfTpk0ydOhQ6dy5s1x33XWyceNGW9sKAADcy9FAM3XqVCuYzJw5Ux588EGZNm2aLF26tMr9jhw5ImPHjrWCz+uvvy5dunSRvLw86zwAAIBjgUbDyPz58+Xee++V9u3bS79+/WTMmDEye/bsKvddvHixpKSkyD333CM5OTnW9/ziF7+oNvwAAAD/cWxS8ObNm6W8vNyqtgR169ZN/va3v0lFRYU0aPBz1lq/fr11W0LCif0K9GvXrl1l3bp1MmTIkFr93J8eok6C31ufx0B06Gv70Nf2or/tQ197o6+jfUzHAs2+ffskPT1dkpOTK89lZWVZ82qKi4slIyMj7L5t2rQJ+/7MzEzZsmVLrX9uZmZqPVsem8dAdOhr+9DX9qK/7UNf+6OvHQs0R48eDQszKnhcVlYW1X1Pvl809u8/JIHwa6HVKiXqk1Wfx0B06Gv70Nf2or/tQ197o6+Dj+3aQKNzYk4OJMHjhg0bRnXfk+8XDe3o+nZ2LB4D0aGv7UNf24v+tg997Y++dmxScPPmzaWoqMiaRxM6tKQhpUmTJlXuW1hYGHZOj5s1a2ZbewEAgHs5FmjatWsnSUlJ1sTeoDVr1kjHjh3DJgQr3Xvms88+k8BPsU+/rl271joPAADg2JBTo0aNZNCgQTJ58mR5/PHH5fvvv7c21nviiScqqzWpqalWxWbAgAHyzDPPyGOPPSbDhw+X1157zZpXc8UVV9T657LKyQz0tX3oa3vR3/ahr/21yikhECx7OEBDiQaat99+Wxo3biyjR4+W3/3ud9Zt5557rhVugsuyN2zYYG2+t23bNuu2hx56SM4//3ynmg4AAFzE0UADAAAQC1ycEgAAGI9AAwAAjEegAQAAxiPQAAAA4xFoAACA8Qg0AADAeAQaAABgPAINAAAwHoHmJKWlpTJp0iTp3r275ObmWpdjOJVNmzbJ0KFDrWtKXXfddbJx40Zb2+qnvn733Xfl2muvlS5dusjAgQOloKDA1rb6qa+D9uzZY/X3xx9/bEsb/drfX3zxhYwYMUI6depkvbY/+ugjW9vqp75+5513rEvm6Ota+/zzzz+3ta1eUVZWJldffXXE3w2OvD/qTsH42cMPPxwYOHBgYOPGjYG333470KVLl8CSJUuq3O/w4cOBSy65JDBlypTA1q1bA4888kjg17/+tXUese3r//mf/wm0b98+MHPmzMCOHTsCs2bNso71PGLb16FGjx4dOOeccwIfffSRbe30W38fPHjQ+r1x3333Wa/tZ599NtCtW7dAYWGhI+32cl9/+eWXgY4dOwYWLlwY2LlzZ+Chhx6yfocfOXLEkXabqqSkJPCnP/0p4u8Gp94fCTQhtLP1BR/6JD3//POBm266qcp958+fH+jdu3egoqLCOtav/fr1CyxYsMDWNvuhr5966inrzTXULbfcEviXf/kXW9rqp74OWrRoUWD48OEEmjj3t4b0vn37BsrLyyvPDRkyJPDuu+/a1l6/9PWLL74YGDx4cOXxoUOHrNf3hg0bbGuv6bZs2RK45pprrAAZ6XeDU++PDDmF2Lx5s5SXl1vlyKBu3brJ+vXrpaKiIuy+ek5vS/jpMqD6tWvXrrJu3Trb2+31vh48eLDcfffdVR7j0KFDtrTVT32tioqK5KmnnpKHH37Y5pb6r79Xr14tffr0kcTExMpzCxYskEsvvdTWNvuhr5s2bSpbt26VNWvWWLe9/vrr1kWRW7Zs6UDLzbR69Wrp0aOHzJ07N+L9nHp/TIrroxtm3759kp6eLsnJyZXnsrKyrDHa4uJiycjICLtvmzZtwr4/MzNTtmzZYmub/dDXOTk5Yd+rffzhhx/K8OHDbW2zH/paTZkyxQqRbdu2daC1/urv3bt3W3Nn7r//flmxYoW0aNFCJkyYYL0ZILZ9feWVV1p9PHLkSCtANmjQQPLz8yUtLc2h1ptn5MiRUd3PqfdHKjQhjh49GvYPQwWPdRJUNPc9+X6of1+HOnDggIwfP95K+/rJFrHt6w8++MD6BHvrrbfa2ka/9veRI0dk+vTpcsYZZ8gLL7wgF154oYwePVq++eYbW9vsh77WyqO+0T7wwAMyb948a5HBxIkTZf/+/ba22Q+OOvT+SKAJkZKSUqXDg8cNGzaM6r4n3w/17+ugwsJCGTVqlM77kr/+9a/WJyzErq9LSkqsX/YPPvggr2ObXttaKWjXrp3cfvvtcv7558tf/vIXyc7OlkWLFtnaZj/09dNPPy3nnHOO3HjjjdKhQwd55JFHpFGjRtYQH2LLqfdH3hFCNG/e3ErxOiYbpIlen4QmTZpUua++wYbS42bNmtnWXr/0tfruu++sX0T6j+Lll1+uMkyC+vf1hg0brCEQfXPVOQnBeQl/+MMfrKCD2L+2tTLTunXrsHMaaKjQxL6vdYn2eeedV3msH4j0eO/evba22Q+aO/T+SKAJoZ+UkpKSwiYuafm9Y8eOVaoBurb+s88+s6oFSr+uXbvWOo/Y9rWW5ceMGWOdnzVrlvWPBbHva53L8fbbb8sbb7xR+Uc9+uijcscddzjSdq+/ti+44AJrH5pQX331lTWXBrHta30z3bZtW9i57du3y1lnnWVbe/2is0PvjwSaEFp+HDRokEyePNn6tLp8+XJrk6abb765MvlrWV4NGDBADh48KI899pg1c16/6rihbtqE2Pa1TtzbtWuXPPnkk5W36R9WOcW2r/VT7dlnnx32R2mA1Al9iP1rWye2a6B57rnnZOfOnfLss89aVTKd34HY9vUNN9xgzZ3RoK59rUNQWp3RCfCoP1e8P8Z1UbiBdJOle+65J3DBBRcEcnNzrb0LgnTdfeg6+vXr1wcGDRpk7YNw/fXXBz7//HOHWu3tvr788sut45P/TJgwwcHWe/d1HYp9aOLf359++qm1P0qHDh0C1157bWD16tUOtdr7fT1v3rzAgAEDrPuOGDHC2owPdXPy7wY3vD8m6H/iG5kAAADiiyEnAABgPAINAAAwHoEGAAAYj0ADAACMR6ABAADGI9AAAADjEWgAAIDxCDQAAMB4BBoAxnv99dfl3HPPlfnz5zvdFAAOIdAAMN5bb70lLVu2lEWLFjndFAAOIdAAMNr+/fvlww8/lD/96U/y6aefWhd3BOA/BBoARlu6dKmkpqbKNddcI82aNaNKA/gUgQaA8cNNv/nNb6RBgwbSu3dveeONN4Rr7gL+Q6ABYKxvvvlG1q5dK3379rWO+/fvbw05rVmzxummAbAZgQaA0dWZlJQUyc3NtY4vuugiSUtLk4ULFzrdNAA2SwhQmwVgqMGDB8umTZskMTGx8tzx48elcePG8v7770vDhg0dbR8A+yTZ+LMAIGa2b99uhZn77rtPevToUXl+69atcuedd8o777wjAwcOdLSNAOxDhQaAkaZNmyavvPKK/Nd//ZckJyeH3XbVVVfJL3/5S/n73//uWPsA2Is5NACMnT+jFZiTw4waMWKEfPDBB/Ldd9850jYA9qNCAwAAjEeFBgAAGI9AAwAAjEegAQAAxiPQAAAA4xFoAACA8Qg0AADAeAQaAABgPAINAAAwHoEGAAAYj0ADAACMR6ABAABiuv8PnHRGh3F/ylgAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 12
  },
  {
   "cell_type": "code",
   "id": "edbb3dc1-86b9-453b-9ab0-9fc06c9c2b6b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:21.706238Z",
     "start_time": "2025-06-20T06:14:21.594003Z"
    }
   },
   "source": [
    "# 气泡图\n",
    "df4.plot(kind='scatter', x='A', y='B', s=df4['C']*200)  # s是指定气泡大小，这里是用df4的C属性来设置气泡大小"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='A', ylabel='B'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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r/jJrNFKiA/usJSOPPzVlOC5NDDf4ZwUZmHtj6nM4I6sGNC+88AKys7OxfPlyPPXUU3j11VexcePGs447fPgwHnroIdx1111Yv349kpKS1L8bGxthywaH+vaoV9Cfod2qSxIRkelIJd5/zU/FE5OHn3Wt9XRzwfTRUVhxyzhMS44y6ueMGxgE3zOWcesj0NsdqTGdgRfZybLthoYGrFq1Cm+++SaSk5PVTQKXFStWYMqUKT2O3bRpExITEzFr1ix1/8EHH1THHTlyBCkpKbBVUYHeah52a25ln1NPEvQMCfdFclSAJZtHRORUZNPJGSlR6pZX2YiKhs7dtuOCfeDvZZq3Q6lJMys1Sm110F/+5JlkhOj6tOiuzTFJP1brtYMHD6KtrU1NIWmNGzcOe/bsQUdHz7oBwcHBKnjZtWuX+t6aNWvg7++PQYMGwdbdeVGCmovta6RGXvP3ThrcVWGSiIjMKy7EB2mxQUiKDDBZMKMl+z/pm0AgV395r5idGm3StjgTq43QlJaWIiQkBJ6enl2PhYeHq7yaqqoqhIb+XGju2muvxTfffIMbb7wRbm5ucHV1xeuvv46goCC9f64xMYP2ufqcY3R0AP46OxkPr9+PlvaehZYkGpdQ54kpw3FJYpjhDXNAhvQ1GYZ9bVnsb8fv60GhPnjymuFYuvGQTsdL8+St4Q/XjkB0kDfskYsZ+1rXc1otoJH8l+7BjNDeb2npuWStsrJSBUBPPvkk0tLS8N577+Gxxx7D2rVrERamXyAQFmb8tI6+55gRHoCJSVFYuTMPa3bno6K+Rc2TTkuNwcIJgxAb7GN0mxyVKX5fpBv2tWWxvx27r39xWQB8/b3x29VZavS9vZe8AzfXzhH8v8xPw8wxsbB3YVZ8XVstoPHy8jorcNHe9/buGaG+9NJLGD58OG666SZ1/5lnnlErnlavXo0777xTr59bXl5r8LI6iRLll2XoOeaPjlS3HtraUFbG5dqm7mvSHfvastjfztPXVyQE4/3F41Tl4I+yi9V2CNrRGOHjIRtbRuH6MTFICPW16/cCFzP2tfbcNhvQREZGqpEXyaNxd+9shozCSDATGNgzw1uWaN9yyy1d92XKaeTIkSgoKND750pHG9vZpjgH6YZ9bTnsa8tifztHXw8O88MjVw7DvRcPxtYTlWpTSwlqQn09cEFCKHw9O1dEOcprQWPFvrZaQCNLryWQyczMVHVohCT9yqolCVi6GzBgAI4ePdrjsePHj9v0CiciIiItP093XDncsO0UyMZXOfn4+Khl2EuXLkVWVha++uorVVhv0aJFXaM1TU1N6t/z58/HypUrsW7dOuTm5qopKBmdmT17trWaT0RERDbEaiM0QhJ7JaBZvHixWoa9ZMkSTJ48WX1PKgc/99xzmDNnjlrlVF9fr1Y2FRUVqdEdKcanb0IwEREROSYXjZNtGiFJV8YkBYeHBxh1DtIN+9py2NeWxf62HPa1Y/S19tz9YTlCIiIisnsMaIiIiMjuMaAhIiIiu8eAhoiIiOweAxoiIiKyewxoiIiIyO4xoCEiIiK7x4CGiIiI7B4DGiIiIrJ7DGiIiIjI7jGgISIiIrvHgIaIiIjsHgMaIiIisnsMaIiIiMjuMaAhIiIiu8eAhoiIiOyeu7UbQEREZGs6NBrsOFmFT/YVo6C6CS1tHQj0dse4uGDMTIlCmJ+ntZtIZ2BAQ0REdJpGo8G6vUVYvj0P+dVNcHNxQbtG0/X9nXlVeGPzCVwxPAL3TErAwGAfq7aXfsaAhoiI6PSozPNfHcbarCK4nH6sezDTeUzn128OlWJbbiVenpuC5KgAyzeWzsIcGiIiIgB///6YCmZEzzDmbO0aoK65Dfd9mIXcigaLtI/6xoCGiIic3t6CGry7K1+v58hoTWNLO5776rDZ2kW6Y0BDREROb2VmAdy080x6kJGaXXnVOFHOURprY0BDREROrbKhBV/mlKrgxBASCK3OKjR1s0hPDGiIiMip7cyrRrs229cAEgh9f6TMpG0i/TGgISIip1bd2Gr0OWqb2kzSFjIcl20T2XA9DJmb/+5IGZpaOzA4zBfXjYpEsK+HtZtG5FDcXA1InjmDqwnOQcZhQENko3P6D6zdh31FtV0X244ODf7x43H89uphmDE6ytpNJHIYpqj6G+bLysHWxiknIhss7vU/a7JxsLhW3Ze5fbnJDH9rhwbPfH4Im49XWLuZRA7j/EHB8PN0M/j5Li7A1FEDTNom0h8DGiIbsyO3CvuL63pdcSEDNv/eetLSzSJyWN4ebpidGq3+tgzhChe1vxNZFwMaIhvz7ZGyPuf0ZTFGVkENKhpaLNouIkc2Ny0aLl0bHuhO/lSvSYpAKKecrI4BDZGNaWhpVwnBuhxHRKYhm0w+OWW43vVnEkJ98fAViWZrF+mOAQ2RjZELZH98PFwR4e9lkfYQOYtrR0XiyWuGq1EX2WW7Ny6nb4kR/vjnvFT4e3F9jS1gQENkY6aPjuz3U+H05Ch4ufPPl8jUpo+Own9vGqumkdxdOyeh5KvctEFObLA3Hrx8KN5akGaSFVJkGgwriWyMjLw8eNlQvPTtUbV6ovvskwQz0UHeuOPCeGs2kcihjYj0x9NTR+KBS4fii5xSFNc2o6W9AwFebkgfGITxccFw6WMEh6yDAQ2RDbphbCwi/D3x1taTOFxarx6TEZlpyZG4e2ICi+sRWYD8nc1Pj7F2M0hHDGiIbNQVwyNw+bBw9emwsbUDUYFe8PEwvFYGEZEjY0BDZMNkWDsq0NvazSAisnkMaIjIZkhF5OPlDahu6twsMMjHA0PCfOHKfAUi6gcDGiKyuqqGVnyUXYSVmQVqiq27qAAvlccgK7uYO0REvWFAQ0RWtSarEC9+faRrv6ozFdU245UfjuOfP53Ao1cmYlZqtBVaSUS2jgENEVnNf7adVIFKfyTQaevQ4NkvD6OmqQ2Lzo+zSPuIyH6wMhcRWcUXB0t0CmbO9MqPx/FVTqlZ2kRE9osBDRFZXIdGo6aRDPXKD8fUOYiItDjlREQWt/VEpcqNMVRBTTN25FZhQkKISdtFQHl9y+naR+3w9XRDdIA3k7HJLjCgISKLW5lRoLZxaDdwkEWeuyqzgAGNicholwSZ8nvZfLyiR3K2bNR4WWK4Wmk2dmBQj5L/R8rqsWZPIfYX1aKuuU0VfkwI88WslKizjiUyNwY0RGRx2YU1BgczQp67t7DGlE1yWkdK6/Gb9fuQX92kAsUzfy0dGuD7I2X45nCZqgn0l1nJKK1rwas/HkdWQc1Zgenh0jpsPFCC+BAf3DkxHpNHDrD0/xI5KQY0RGRxDa3tRp+jvsX4czi7PfnVWLJ6L5rbOtT93oJM7eO5FQ1YuHwXWuT404MvZz5He/9kZSN+9+lBHCtvwF0T4zlaQ2bHpGAisjgPN+MvPZ4mOIczk+Dk/jXZKpiRURhdSLDSJMefHrnpi/bb/956Eu/sPGV0e4n6wysCEVmcVP815vO6PDcywMuELXI+ssqsqbVd52DG2J9VUN1k/h9ETo0BDZGOpJKtJD62tXcOz5PhZqZE2cQ5nJWsYvrhaLlReUz6kNkmqQhNZE7MoSHSIYH1g4wCVcxNqtXK6MD4uGDcMDYGFw8N48aJBpiWHKmSSlsNfEf1cHPBdaMiTd4uZ7E2q1AFGZYq5SOjQLIa6s4L4+Hpzs/RZB58ZRH14d9bc/HLdzPx5cESFcwI+e/uU1X4zfr9+O1H+zsTJEkvgd4emJ4cqZYE60ueM3N0FAK8+XnMUBKcW2Kqqbva5ja1vJvIXHhFIOrFmj0FeG1Tbp8rOb47Uo7nvjqMp6aMsEIL7dsDlw3F/qI6tcxX14EaWSI8YoA/fn3pEHM3z6FVNrZa5edWN7VZ5efao4aWduw4WYmKhlaVuO3v5YaBQT5Iiw3kirFeMKAhOgfJk/nXJt02TfxkXzFunTAIcSE+Fmmbo/D2cMOr16fgwXX7sLegs6ZMX3GNXMJTYgJVHRR5Lhmuw9LDM6dxYVr/jpXXY3VmIT7eV4TG1s7R3+7Tg97urogK9EJydABmp0QjNYYBjhYDGqJz+P5oOaoa23QeNZCEx/s5aqC3IB8P/Gtequq/D3bn45QUd3N1gUbTmaskV3JJxo4L9sYN6bGYnRrNHAwT8PNyR50V6viE+npa/GfaC1lx9ofPD+HLnNKzihV2z3WSZfMnKhrV7dN9JUiK9McLM0YhKtAbzo4BDdE5HCiug7urS1feTF/kwnOgmLkBhpIAZcHYWNyQHoOdeVX48WgFqps6p0SCvD1waWKYQ5bRl6Atq6AWH2YWqNySprZ2+Hu5Y0J8COamxWCQGUf8xsUF4fMDpWi34Aaf0YFeGBnpb7GfZ0/qW9pw76q9XdcRfXLlDxbX4bb3MrH85rEI93PugJEBDVEvbzb6kFEEMo4ELOcNClE3R5edX43/eW83jpQ19Pg0XlzbghPlDXh3Vz4uSAjB0ikjEGaGN6l5Y2KwYX8JLEVCURlh44rAc09vP7x+vwpmDLmMyFNkK4p//XQcT1zj3Ll8HLslOoe4YB+dgxQ3FxckhPqavU3kGDJPVWPuvzarLQH6SjjfkVuJxSsyVM0YU0uOCsCwCD+Vm2FuLqdH4WSpPp1tTVYRdp6sMmrVmTx1w/5i1Jwe2XRWDGiIzuHqkRE652rIsP2s1Gizt4nsX1FNk9puoLW9/+0GJLApq2tWey2ZupijjIbdfVGC2evQaOOl56cnqXwpOnsk+P3dp/pMhtdVWwdUYOTMrBrQNDc34/HHH8f48eMxadIkLFu2rNdjc3JysHDhQqSmpmL69OnYunWrRdtKzsXP010Nkff3AVamC9IHBqpPvET9WZVZiEY9thuQoOZ4eYOq6mtqlwwN0zuRXfv3ICtt5LXf38il5KFJMDNpSJjhDXVgu09VI6/KdFtCVDv5snirBjQvvPACsrOzsXz5cjz11FN49dVXsXHjxrOOq62txa233orExER8/PHHuPrqq3HfffehvNz0f+REWr+alIDLhnVeiF16KfAWH+qLF6YnW7xtZH+klsiarAK9pxbkdfZ+RoFZ2nTz+IF47KpE9fruL0CRdri6uuDZ60biw1vPww1jY+F7evm8BC7yfPkqp5Gv1yRFYPnN6bhieIRZ2u4IVu8p7Lff9VHg5PtlWS0puKGhAatWrcKbb76J5ORkdTt8+DBWrFiBKVOm9Dh27dq18PX1xdKlS+Hm5oZf//rX+P7771UwdOmll1rrf4EcnFyUn5s2Cuuzi/DernycqOjMeRAhvh6YlxaDG8fHqtEcov7IdEBds/5LpSUAyjhVjfL6FrMkCM9Ji8HYgcH4cE8BPsrurH0iS+flfVZiL8klk6Juc1KjMSctGrFBPl2FEX91UQK+yCnFoZI6tQxcApyBwd64NikSwb6cYuqPPkUldd0SxJlZ7Up88OBBtLW1IT09veuxcePG4bXXXkNHRwdcXX8ePNq+fTuuvPJKFcxorV692uJtJucjF3a5kM9OicLxigZUNrTC19MNw8L94M4qYaSH8oYWo54vrz1zBDQiIcwXv7kiEfdMGozvjpSpT/pSqdbPy00lyF+aGA6vc+SUSYHDGaO5SaihDAlw+xpBazpdiM9ZWS2gKS0tRUhICDw9f/4DDQ8PV3k1VVVVCA0N7Xo8Ly9P5c488cQT+OabbxAbG4tHH31UBUD6MiarX/tcrjw0P1vra0miHBruB0dka33tqIz98Czxs7l/RxLAXOdAq5Fs/bUto8Cm4uriAg93F6v9v5qzr3U9p9UCmsbGxh7BjNDeb2lpOWt66o033sCiRYvUFNWnn36K2267DZ999hmio/VbXRIWZnzypinOQbphX1sO+9q8hscZvvxa3vdGDApDEKdxHOq1HRHojSITLcvv0GgQE+aP8PAAp+1rqwU0Xl5eZwUu2vve3j1LOMtUU1JSksqdEaNGjcKmTZuwfv163H333Xr93PLyWoOXKkqUKL8sY85B9tXXsqxyb2Gt2l9F8gMmDg5V1Vwdia30taMbGuCJCH9PVQRNH7Ja6OKhoWhtaEJZg3MnfTraa/uihGDsK6g2yc7nHRpgTKQfyspqHa6vtefuj9WuzJGRkaisrFR5NO7u7l3TUBLMBAYG9jg2IiICQ4b0XF6YkJCAwsJCvX+udLSxnW2Kc5Dt9/XB4lo8+VmOWjar5enmipvHx+KuixIcruopX9fmJa+X+WNi1Kan+ryBSZ0jqezL343jvbZnpkTjjc25Rp9HRvDGDgxCfIiv1f8/rdnXVstqlBEXCWQyMzO7Htu1axdSUlJ6JASLMWPGqDo03R07dkzl0jir3IoGbDlRgW8Pl2F7biXK6o1LOKSeZEXTnR/sUf3cXUt7B5Zty8PfvjtmtbaR/ZJVQgP8vVSyuS7ksPMHBeO8QcFmbxtZnuy9dMWwcKPzqyRAnp/uvO+HVh+h8fHxwaxZs9RS7D/96U8oKSlRhfWee+65rtGagIAANWKzYMECvPPOO3jllVcwY8YMrFu3TiUKz5w5E86kpa0D3xwuwwcZ+cgurD3rwndZYjjmp8c45EZ+lrZs60nV3719kn5/dz5uGj8QkQFelm4a2bFAbw/8c34q7lqZhYq65j6X7MrfdFJkAF6YOYp/zw7slvPi1AdTQ0kwFBfig4uHsnihVdedPvbYY6r+zOLFi/H0009jyZIlmDx5svqeVA7esGGD+reMxLz11lv49ttvMW3aNPVVkoRl2sqZ6hXMems7nthwUO3MeyZ54/3+SBnuXpmlRhaqG517Tw9jSFn6L3NkJ+Lej5H3ly8OWm5zP3Icsov2x/dNwuXDwzuL1bn8XLhRO3Dj49G5A/lr81NZ58jBjYoKwJNTDNtUUvKrJEh+ZW6KSVdM2SsXjb7bCts5SZgyJilYMsiNOYchJIC564M9arpDl7l3idhjg32wbOEYu90/xVp9LSQYvOqfW/o8Ri4eN46LxZJL9Csdb4us2dfOqHt/S4LwR3uLcKi0TtV9kYTz8YOCMWXkAFXviJzntf3JviI88/kh9W9dr/MR/l549foUVbHckftae+7+MPS3cbI53a9X79U5mBEyspBf1YiH1u3DGwvSHC551dz8vNzVJ2SpmNobqZ4aHdhzNR6RITkUt14wyNrNIBswLTkKA4N88MaWXOw4WaUCljNHibVXctk4d3pyJO6YGI9QX/MUW7RHDGhs3KrMAtQ2t+m9rE/+EPYU1KiE4QsSfi5SSP2T0RdZfbAqI7/XaSd3NxdMHsk9aojIdMYMDMI/56XiZGUjVu8pwBcHS1Hd1IrWdo36kCXbTsxNi8bUUQM4FXkO7BEbz+X4cE+hwTUKJMJfmVHAgMYAv5wQh+8Ol6kpAVk2eybZx0bmromIzJFnJdcYuQnJDGFieP+4GY0Nk8z3GiO2g5fRhZ+OVaCohsW49CXDuP+5cQyuHCFLKn++kMQFe6vdhqUuCBGRJTCY0Q1HaAwkEXNeVRMqG1rQ1qFBgJe7Wjrn42G6RL6ckjo1/SHnN7idAI6U1SOK+R56C/f3wrPXJeHhK1pVTpKPpxsGh/ry4kJEZIMY0OiptqkVqzIKVB2S3MrGHt/zlkSt0VFqjtMUGxmaaidWU+7o6oyCfTzUjYiIbBcDGj1GZFbszMdrm0+guZfVL01tHVizp0Al8k6ID8Yfr01CsBGbyXl7mGZGUAItIiIiR8Z3Oh2DmRe/OYK/fX8MTa0dahqnt0kg7aqYnSersGjFbqPyV2Sa6FwJqfqfh9VsiYjIsTGg0cFbW05iVaZ+G2FKYFNS24z7PtyLWgMTe68ZGWHUL0gyPQaH+WLEAH8jzkJERGT7GND042hZvSp0ZAgJavKqGvGmgc+XlTZXjojoscpGHzK2syA9hkmsRETk8BjQ9GP1nkKjdkKVBUrr9haisdWwxNwbx8aiw4BpJ9nWI9DbHVOSnGe/KyIicl4MaPpQ39KGj7OL+tykUBdSQt/QjQyTowPx4OWdxZX0CWZkVOd/Z4/mfjBEROQUGND04bvD5WrlkrFkgGfd3iKDny+77mqDmv5Gi+T73u5ueOX6FKTGBBr8M4mIiOwJl233obCmCW6uLmojQmPIs4tqmo06x8KxsRgV6Y93d+XjuyNl6jHZdFJbEluK78leHzNGR2HhuFi15wcREZGzYEDTB8l7MVU6bYOBOTTdpcUGqVtpXTM+21+Cgpom1UZ/T3cMi/DDNUkDTFqpmPqXX92oNpArO73nU6ivB64YHoFEExRWJCIi3TGg6YPkn2hMdS4TBhoR/l5YdH6cyc5H+ss8VY3/bDuJLScqIYvIZLRMyIjZm1tOIi0mUP2OLhkaZu2mEhE5BebQ9CFaCtsZOd0k5L0uJoh7KTmK9XsLcdfKPdiaW6kCXnmJyJSf3LQJ5HsLa/DQun14fdMJFeQQEZF5MaDpw+XDwlVeirHk/Wx2apRJ2kTW9VVOKf74xWEVxPQV62q/99bWk3hn5ymLtY+IyFkxoOmD5KPMTIk2qg6N8PN0w1XDI0zVLLKSptZ2PPPFIb3zql798bhRW2AQEVH/GND0Q3bONmbWSWrCzE6NhjeTde2eJP82tLQblFe11ohl+0RE1D8GNP1ICPXFfRcPNui5MrIzJMwPt184yOTtIsv7ICPfoFVvEhCvzixAW7vxNY2IiOjcGNDo4JbzBmLReXF6j8wMDPbBK3NHw8+Ti8nsnSSHHyqtN3jVW3VTG4rrjKtFREREvWNAowMpXLfkksH47VWJCPDqDE562+9RAhlx8ZAw/OfGdIT7e1mwpWQuhu7F1V19s/HnICKic+PQgR6uHxODX1yaiPc2HcMHuwtwsKSux/f9vdwwJzVa5czI6Aw5DlMULOS+WkRE5sOARk+S3Dt9dBSmJUepir1Vja1obdeokZvIAC94unPQyxHJFhhDwnxxvLzBoGkn7euDiIjMg+++RlbsHRbhj1FRAYgL8WEw4+BuSI8xKJjRrnTzcOPrg4jIXIy+wlZUVGDFihV4++23kZ+fb5pWEdmgKUmRBhValMKKsvyfiIhsYMqpsbERL7zwAjZs2KDuz5w5E7fccgsWLFigvifl3V966SW89dZbOO+888zYZCLrkByYR68chqUbc/R63h0T47n1BRGRmen8cfNPf/oTdu/ejaeeegrPPfccjhw5gvnz52PixInYtm0bduzYoYKcl19+2bwtJrKi65Ij8dDlQ3usaDsX7Sq4m8YNxO0XsA4REZHNjNB8/fXXeO2115CamqrujxkzRgUzN998Mzw8PNRjt956K2bPnm2+1hLZgAVjY5EQ6oNl2/KQcar69NYY8h+NimSkZk1iuB9+cX4cJo8cYO3mEhE5BXd9cmWion7eYDE0NBQ+Pj4ICQnpeszf3x9NTdyzhhzfBQmh6nasvB4bD5SgrK4FUgc4xMcDVw0PV4niUr+IiIhscNm2m9vZdTR40SZnJltb3DPJsK0xiIjISgFNRkYGgoKCuu5LInBWVhaKijo33quurjZh04iIyFGV1bdge26l2hbE3dUFA/w91ainF8tfkCUCmvvuu++sxx566KEe9zliQ0REvck8VY2VmQX45lAp2jvTzlT6meZ0AUqp2XT9mGhEB3JlIJkpoDl48KCepyYiIvp5RP+fP53A/23PU4n0Esx0Pv7zMbXNbXhnZ57a2f7PM0bhosGhVmsv2R9ufUBE5IQOldRhVWYBtudWoUOjwZjYQMxLj0VqTKBZft4rPxzH2ztPqX9rg5lz6dAALW0deHBtNl6em4IJ8T8vPCHqCwMaJ9fW3oHvj5Zj9Z5CtU9RW0cHQn09MSVpAGaMjkKYn6e1m0hEJrYyowAvfXMErlJm4PQQyZc5pdh4sFTVTbrrogST/rwfj5Z3BTO6kBbJTNQj6/fj4zvPR6B3Z2kQor4woHFiO05W4vefHkRFQ6sqEiefjERVYxv+tekEXt90AjeNj8O9FyeoCx8R2b9deVV48Zsj6t/aYKbz351f39p6EkPD/XDViAiT/cx3d53qcY3RhRzb2NqOT/eXYOHYWJO1hRwX08md1KbjFVjy4V5UNraq+2deaOQ6Jxe4/+7Iw9Mbc9T8NxHZvxU7T50uBnluEni8vSPPZD/vREUDduZV6xXMdPfB7nxef0gnDGicUGldMx79aL+6wOhyndiwvwQf7im0RNOIyIwkMNh8vLLfHJb9xXWoPv1hx1jfHi7rc5uQvkgz86ubcKSs3iRtIcfGgMYJrcsqUkl3+nzmkU9skjhIRPZLgpXu00x9aWmX2tfGq2psNXrKWqbFifrDgMbJVDS04O2deXoFM6KwphnbcivN1CoisgQ3VxfEBXurhNu+BHq5I8TXdhYEMIOPdMGAxsmSAWe9tR2NrR0GXQilIBYR2TdZmt0XmR6anRatqveaguxvZuzobihXW5IOGNA4UTBz74d70WRAMCPk0lbf0m7ydhGRZc1JjUZKTOA581okWTg+xFftFG8qVw6PMDghWJooI0pDw3xN1h5yXAxonEBtUxseWrdPJQQa+jlJnufnxVX+RPZO9kr6x/UpuCE9Fj4eP78FeLi5YFpyFN5amAZ/E/6tx4X44PxBwX2urOrLgrGx3FKHdMJ3KCfwyf5iNLS0GxzMiPYODcbH/bwxKRHZL28PNzx4+VDcfVGCqhgsSwSGhfsjwNs8bwk3jR+I7Ser9HqOjCD5eLjh2lGRZmkTOR6O0Dg4GZWROg7GGhjsjfFxwSZpExHZBl9PN4wZGISxA4PNFsyIiYNDcesFg3Q+XgZkZFTmL7OSTTpaRI6NAY2Dy61sVHUcjF1wLXPqHPYlIkPdPTEed02MV//ur7Cft7srXpk7GuP4IYr0wNDXwZmiONb1adFqXyciIkPJB6LbL4zHhYND8WFmATYeKEHbGdnCsiLq+jHRmJ0ajQh/L6u1lewTAxoH5+7manQC4SNXJnJ0hohMIjkqAMlTRuD+S4eo1Zfyocvd1RURAZ44Ly7Y6GsWOS8GNA4u0t/w+g0SwgwO9WUwQ0QmF+zjoZZ0E5kKQ2EHF+7vhQnxIQb9omUweGYKp5qIiMj2MaBxcLLcelCIDzoMnG6aOmqAGVpFRERkWpxycmBNre14/JMD+PFYhUHPv3XCIPh58iVCtrkn2T9/OoET5Q2ID/XBryYNRjjL4xM5Nb5bOfDIjAQzm44bFszMHB2FX04wXflzIlORIpG3vZeJwuomtGuA7MIa7DhZhXcXjWPNEiInxiknB/VxdpEamdF3DxVJ/71nUgJ+N3kYk4HJJv10rBynqjqDGSFfZTf4H46WW7tpRGRFDGgctDrw+xn5KjjR+7kAzo8PYTBDNqu3DVZlipWInBcDGge0t7AWR8saDKoOLBU8V2UYv1UCkbmMjQtSGylqQ2756uHqwqqyRE6OAY0DkmJVUj7cEDJ8vzW30tRNIjKZgcE+eGlmMgJP7z0keTMvzByF+FBfazeNiJw1oGlubsbjjz+O8ePHY9KkSVi2bFm/zzl16hTS09Oxbds2i7TRHtU2tcHViCmj+hYO3ZNtk80Ov7znQnxz70R8fe+FmDQkzNpNIiIrs+qSgBdeeAHZ2dlYvnw5CgoK8OijjyImJgZTpkzp9TlLly5FQ0ODRdtpb6R+jDE8WXqc7IDkeZlzh2gisi9WuxpIULJq1Sq8+eabSE5OVrfDhw9jxYoVvQY0H330Eerr6y3eVnsTF+Jz1qZvupKBnbhgH5O3iYiIyCEDmoMHD6KtrU1NH2mNGzcOr732Gjo6OuDq2nOUoLKyEi+++KKalpo2bZrBP9eYxTva59r6AqArh4fj+a8Oo7GX1SB90Wigdru19v+jvfS1I2BfWxb723LY147R17qe02oBTWlpKUJCQuDp+XN1z/DwcJVXU1VVhdDQ0B7HP//885g9ezaGDRtm1M8NCwsw6vmmOoe5LTw/Hsu3nFAF9vQR4OWOhRcNgbeHG2yBPfS1o2BfWxb723LY187R11YLaBobG3sEM0J7v6Wlpcfjmzdvxq5du/DJJ58Y/XPLy2vVKIShUaL8sow5h6XMSY7Ah7vyUNfcpldxvTsnxqOuugF1sC576mt7x762LPa35bCvHaOvtee22YDGy8vrrMBFe9/b27vrsaamJjz55JN46qmnejxuKOloYzvbFOcwt8gAb/x9zmjcu2ovmtradQpqbhwXixvSY2zq/80e+tpRsK8ti/1tOexr5+hrqy1niYyMVHkxkkfTfRpKgpbAwMCux7KyspCXl4df//rXKt9Gm3Nzxx13qECHejc6OhDLbhyDxHA/dd/tjIlI7V0/Tzc8dPlQ/M+lQ1ghmIiI7JLVRmiSkpLg7u6OzMxMVYdGyLRSSkpKj4Tg1NRUfPHFFz2eO3nyZPzxj3/ERRddZPF225uh4X5YsWgc9hXVqgrA23KrUNfSppZmDwrxwdy0aFw1PMJmcmaIiIjsKqDx8fHBrFmzVF2ZP/3pTygpKVErmJ577rmu0ZqAgAA1YhMfH3/OEZ6wMBbT0lVyVACSp460djOIiIjMwqoV1B577DFVf2bx4sV4+umnsWTJEjX6IqRy8IYNG6zZPCIiIrITLhrZmtmJlJUZt8opPDzAqHOQbtjXlsO+tiz2t+Wwrx2jr7Xn7g/rhhPZuf1FtfgqpxS1zW0I9vHANSMHIDGiMxGciMhZMKAhslMltc347cf7sbewFm7a7dU1wP9tz8P5g4Lx7LQkFeAQETkDBjREdqiqoRW3v5+pghpxZkXoXXlVuHvlHixbmA5fT65gI9sgGQ6bT1RizZ4CHCtvgL+nOyaPjMCM0VEIYvBNRmJAQ2QFUsF5w/5ibMutRE1TG3w83JAUFYDZKVGICuy/gOTbO0+huLa514KJ7RrgWFkD1mQV4ubxA03/P0CkJwm6n96Yg88OlMDNpfM1KnJK6/D2jlP41/xUVWaCyFAMaIgsqKWtA6/+eBxr9hSipb1z81BtTCLBzX+2nsTFQ0Px26uGIcLf65znaG3vwNqswn6rP8u3P8jIx03jYlkwkaxuxc5TKpgR2mBGSAJpdVMr7l+TjXW3nQd3N6suviU7xlcOkYU0tbbjvtV78X5GPprbO1TA0T0mkQBF7m86VoHF72Qgv7rxnOcprGlWCcC6KKppViNARNbU1qHBil2nev2+vPZlxPGHo+UWbRc5FgY0RBbyzOeHsCe/ut8ljfLptaKhBfd9uFcFQWdyskoL5ADyKhtR0dDa5zEyDbXjZJXF2kSOhwENkQWcKG/AFzmlOu98LkHNqaomfJlTetb3JMdG9t/SRYS/JwK8ObNM1tWuQxAur/ktJyqx+1QVg3YyCAMaIgtYnVWoPoHqQ1ZiSw7MmbzcXTEzJarf88nz54+JgSvzZ8jKBgX7wN+r/yC8sKYJd32QpZKH207nmBHpigENkQVsPFDSIxFSFzKak1NSf85cmkXnxSHU17PXoEYejw32wfVjYgxsMZHpeLq7Yt6YGPQXWmtHMDfsL1FTtBypIX0woCEyM7ko1zT1nT/Ql8pz5B6E+XnizYVpGBzmq+5LYT0ZkdEW2BsVFYA35qfC34vTTWQbFp8/6OcCkP2QMGbDgRJsZ04N6YFXOyIzkyXTMu3TYeCnTfde3gRig3zw7qJxyMivxlc5ZSpoCvH1xJSRESqg4VJtsiVSlkBWO+nKzcUFqzIKMCE+xKztIsOdqmpUJSg+P1iC6qY2dY2TYokXDg5R092Wvg4xoCGygOhAL5Xkq29II7FMZMC569EIuViMHRisbkS27NN9xer1rHtivEYt45YilBxptC0F1U14/qvDKon7zN9pZWMrPj9QqqYNh0X44eErEpE+MMgi7eKUE5EFzEnTP5dFPqFeMjRMjboQ2bui2iadgxktOby8vsVcTSIDHCqpw6J3dmN7bqW6f67fqXZV29GyevxqVZbaPNcSGNAQWcD05Mhep456IxcFJvWSo/BwNeztxl3f5YFkNrIK7d4P96rCnroscpBgp6NDg99/egA7TnYGQObEgIbIAmTjvV9fOkTn4yX2uXJ4uNo1m8gRJIb76V26wMfDFeF+vU+5kmX99dujqG1q1WukTQ6VBfhPbcg5axNdU2NAQ2QhC8bG4u6L4tW/exus0T580eBQPD11JBN7yWHMTovWq3SBBD+yC7fUXSLrKz69NYW+5SeEzECV1rdg0/EKmBMzrcgp1be0YduJSlQ1tsLL3Q3J0QFICO1cAm1Ot10Qj6TIALyz81RXmXe5cGv3cYoP9cXCsTGYmRKt8xJXInuQHBWApEh/lYOhy5uiHMIpV9uxLqvQqOfLdW5lRoHKCzQXBjTkVErrmrFs60l8vK8YzW09K5GOiwvCLycMMvsy0YmDQ9XtZGWjmleubWqDj4cbRkb6IzUmkKMy5LCem56EX6zIVK/5/rZDeOyqYRb5kEG6+fpQmd5J3d1JECtL92V/Om8P3bZu0RcDGnKq/ZTuWrkH1Y2t5/yEmHGqGrvy9qplhvPTzf/JcFCIj7oROQupnfR/N43Bw+v343BpvVrJpw1sJI6Xf/p6uuG3VyVialKktZtL3chotinUNLUxoCEyhtSyuPfDrF6DGaH99PHiN0dU7ZdLE803NErkzEHNilvGIqugBh/uKVRTUK3tHRgQ4IVrR0Vi8ogIs73hkeEMLQxqrvOcCwMacgofZRehtK5Fp8J2MuHz2qYTuGRoKKd/iMxA/q7SYoPUjexnpWZ1U5tJzmMuTB8np9hLSZLRdD4ewJGyemQX1pq1XURE9uKSoWG9rs7UhTw3LSZQ5QuaCwMacngldS3Ir9Zv2wHJyN+Zx43xiIjE3LRoo5KC5bnmzk1kQGNheZWNarmwrG4pq2u2dnOcQmNLu0FD4vUGPI+IyBENDPbBhPhgg0dpgrzdcfmwcJgTc2gs5NvDZVix8xT2FNR0PSYvjIuHhOGW8wZyLtmM/L3dDUpcC+CGeEREXR68fCh+sSIDTW0dakWaPh6/ehg83Mw7hsIRGgvkb/z9+2N45KP92Fv4czCjHYL76VgF7nh/Dz7aW2S1Njq6MF8PteurPp8s5HczaUioOZtFRGRXhoT54X9nj4aXm6te19NHr0zEFcMjYG4MaMxMklGlKmxfu5LKw3/84pAqOkSmJ9NHC9JjdZ7/lT/UMbGBGBruZ+6mERHZlXFxwVh24xgMDeu8PkotoTNpg51wP0+8OGOUxSo+c0zdjKS2wltbc3U6Vl4Tb23JNXuVWmc1eWQE3tudj+Pl9f2WXZcA6L6LB1uqaUTk4GRTRtnHSLYPkArhsq2JbAUhb/SjogJgb4ZF+GPForHYV1SLVZkF+CqnFC2nL6wSzIyPC8YNY2PVnnSW3MKFAY0ZfXekHFWNuq3bl9GDzPwaHCuvV8N6ZFpSqOuV61Nw76osHC9vOOeKJ1nZ5Origj9NS2JOExGZbCHI/Wv2Iq+qSV1jtB+ocisa1BYs8qb/7LSR8PO0r7djFxcXjI4OVLelU0aorWSCQv3QVNsIl65tdi2LU05mtL+oFu56RqcHiurM1h5nJ8Of/7kxHUsuGYyoQK8e3/N0c8H00VF4+5axuMzMmfhE5BxKaptxxweZKKhuUve7jw5r/73lRAUeWLtPjejbKxcXF/h4uiHQ20N9KLQW+woJ7YwhL1B7flHbA9kn5pbz4nDT+IGq5Lp2t21JGvbnqiYiMqHXN59AVUPv261oR+dlH7nPDpRgxugok/zcg8W12H2qWm354u3uhrgQH7XIwdyrjKyNV3AzGuDvpfe+FREBPUcOyDzkU8TISPubuyYi+1DT1KqClP5y9oQMaqzMyDcqoGnv0GDjgRJ8kJGPA8V16pySsCsrbaUNwT7umJsWo4rbhfp6whE5drhmZdckDdDreHnBTRgUbLb2EBGRZezOq0arLtGMKu8B5JTUo7KhxaCf1dTajofX78PSjTnIKanrOmdbR2cwIySf8z/bTmLh8l04XOqYqQ0MaMxI7dg8NEwlgvVHoun5Y2Lh7uBDgkREzqChVf9K44ZUJ5eg5bcf71erqERf5SnkezLNftcHWSpZ2dHw3dPMHr1qGAYEePUZ1Gg37Vp8fpwlm0ZERGYS5O1hkefIsunNxyt1rrMlxzW0tOH3Gw7A0TCgMbMwP08suzEd6QODexQhcjkdyMhtalIkXpmbAk93/jqIiBzB+EHB8PPUbWdpeR84f1AwAvTcpkVyNN/f1Vm4VR8yDbW/qA4HimvhSJgUbKHlwv+an4qjZfX4OLsY+dWdhZWkEu3M0VFqBIeIiByHl7ur2qFaKsX3N3rSuRN1rN4/Y0duFQpqDNvk2M3FBR9mFuCJa0bAUTCgsSAJYP7nsiHWbgYREVnAbRfEY+uJShwpq+8zqJkxOhKXDNV/77jNJyrUh2NZ4aQv2Xbnx6OdeTeOgnMcRGRyanWFARdZIkere/Xa/DRcPCSsWzXyzpukHXi4uuAX58fhd5OHq+J0+qppautczmSguhbdKtlryRLwxtZ2VDe22uTfN0doiMhkQcxH2UX4YHc+jpU3qAt2+sAg3DhuIC5N7LygEzkbyYt5aVYyTlU1qr+PfNkCwVXqYPnjulGRCPLRPxFYy0MiJAmEDAxq3HWsZC8BzCf7ilWtHO0Ulzz3quHhaj+q1JhAgwIyU2NAQ0RGa2vvwEPr96nVFtrLmlxiM/OrVcVS+RR6Lzf8JCc2MNgH90wy7d9AdKC3GjUxhMvp0iL92Z5biYfX71cjM5ozPsB8mVOKjQdLcc3ICDw1xfq5OJxyIiKjLd+Rhy3HK9W/u1/0tKPS/7c9D5uOOdZ8PVlWRUOL2iIg81S1qqVCskJ2gDEzTpidGt3n96Wv71+Tjca2nsGMlrZo3xc5pXhiw0F0WHkaiiM0RGT06MwHGQXnvOBpycj4u7tP4aIh+ic+knOTPdde/fG4Sq7VvsZkyubqERG47YJBSAj1hbOKCvRWezRtPl6h0xYL3bm7uWBacmSfS8Kf/Oyg+tpf0CTf//pQGTbuK8L50f6wFo7QEJFRTlY1orKh70/McrHNyKu2WJvIMfx0rBw3v70bW7oFM0ISUr84UIJF7+zG3oIaOLNbLxhk0HTTgvRYtTt2b7blVqKwplnngn2SjrN88wlYEwMaIjKKPhVKiXRVXt+Ch9bt63XkrwNAc1uHmhKRXaWd1ejoQDx5On/FRYfj5ZhLhob1m9P2SXaxTtv2dP/73na8AoXVTbAWBjREZJSBQd79VkSVT2+yqoNIV+/tytepIJ0EM7KrtTO7dlQkXpo5quvv8FwLjrRLxa8fE43nZ4xS03Z9Kahp0nsaSxTXGVbozxQY0BCRUbw93DArJVpdMPt641kwVv9KqOS8Pt5XpPOxshza2V2aGI7P7r4AT14zHMMj/Hp8L9DbXa00/OiO8/HIlcN0Wq7tauAybEOfZwpMCiYio90xcRC2n6xU23uc61P15JER6kakq1opGqcDebmV1bWYvT328uFi+ugodZPpOBm9ki0YZORG3zox8SE+2FdYo9cojfyImEDrbeXDERoiMpqfpzveXJCGm8fHIcDr589JUYFeePDyofjD1JFW/eRG9lllV1fy0tp6okIt65YCdgQVyMjmyP5e7gYVvZuZEqVXMCP5NleMGIBwf+sFNByhISKT8PN0x5JLBuPui+JRVNMMV9fOwl8MZMgQkrgq1Wl1eU8trWvBktXZXfeTIv1xQ3osruaooMGk+m9iuB+Ol9frFNjIMYsnJsCaOEJDRCbl4eaKuBAfxAb5MJghg81Lj9EpmDmXnJI6LN2Ygyn/2oqvDxT3elxTazvyKhvV8TKyIzWVqJOM6jw7bSS8PNx0Wu20cGwsLhlu3QCSIzRERGRzkiIDsOi8OPx3R57ez9XmcUkOye3/3YmnrhmO65Kjur4vu1+vzizAx/uKVa5J9+TZ69OiVQVdKVrn7IaE+eHfC8bgf9Zmo7i2WSX+d8+Rk/tSVO8XE+JwzyTrjs4IF42hG0HYqbKyWoNLRcuHzfDwAKPOQbphX1sO+9qy2N+6k7ent3ecwltbc9HYavjoibzx/m3OaIwdGIxnPs/B5wdL1ajDuaZStG/Sv5wQh7svSrCJTRetra29Az8cLceqzAIcLKlDW7sGwT4euHbUgK7gz5yva+25+z2OAY3ueCGyHPa15bCvLYv9rT/ZGPHxTw6o/cAM6TIJSQb4eyI22AcZ+dU69/uslCg8fvUwBjU6sIWAhjk0RERk06RuimxxYOj7pDyvuK5zc0t93mzX7S3Ce7vzDfypZGkMaIiIyKZ9e7gM1TrWpemLIQHRsq0n0cpkYbvAgIaIiGw+oNGhuK1ZSCAlP59sn1UDmubmZjz++OMYP348Jk2ahGXLlvV67HfffYeZM2ciPT0d06dPx9dff23RthIRkXWU1bdYbXNTCaRk6olsn1UDmhdeeAHZ2dlYvnw5nnrqKbz66qvYuHHjWccdPHgQ9913H+bOnYt169ZhwYIFuP/++9XjRETk2FoN2SXRRCSQYvVh+2C1OjQNDQ1YtWoV3nzzTSQnJ6vb4cOHsWLFCkyZMqXHsZ988gkuuOACLFq0SN2Pj4/HN998g88++wwjR4600v8BERFZQpCPdUumtXSrVUO2y2qvEhldaWtrU1NIWuPGjcNrr72Gjo4OuErd9NNmz56N1tbWs85RW1trsfYSEdk7qdKxK68aq/cUqOq4UtslwNsdE+JDMDc1GglhvrBFKdGB2Hqi0mrTTtJHZPus9lsqLS1FSEgIPD09ux4LDw9XeTVVVVUIDQ3tenzo0KE9nisjOVu2bFFTT/oyppyA9rksSWB+7GvLYV87R3/vzqvCM18cQl5lU4+icpKfcrKiAe/vzsd5ccFYeu0IRAZYb4PBc5mdGoU3t+Ra5WdLX50fH8K/Dyu+rnU9p9UCmsbGxh7BjNDeb2npfSv4iooKLFmyBGPHjsWVV16p988NC+u/OI8lzkG6YV9bDvvaMB0dGnXB1bf4miX7+8v9xbhn1V50nC7CcmZKivb+7vxqLF6RgdW/moj4MD/YCimqNmV0ND7fV4R2Cw/TSN/ccVmiToXdCFa9jlgtoPHy8jorcNHe9/Y+9x4aZWVl+OUvf6mGTV9++eUe01K6Ki83rlKw/LKMOQfphn1tOexrw+w4WYk3N59UxdrcXF1wWWIY7pgYj6HhfjbV34dK6nDPOxkqEOjvx8kxlfUtWPjGVry/eBx8Pd1gKxamReHzbMNXG3m7u6p9mzR6js7IrtMhbp1V5sk6r2vtuW02oImMjERlZaXKo3F3d++ahpJgJjAw8Kzji4uLu5KC//vf//aYktKHdLSxnW2Kc5Bu2NeWw77W3TeHSvHbjw+oC610WVuHRtUq+elYBf69cAyGD/C3mf6WwnAyMqPRY0SioLoJG/YXY25aDGzFyMgALJ06Ak9sOKi2MtD1/0d+RxcPCVV7Dj20bp/OfS7LtT3dXfHoVcP4d2En1xGrLdtOSkpSgUxmZmbXY7t27UJKSspZIy+yIur2229Xj7/zzjsqGCIistZGfc9/fUS9oXaf/ZBAoKW9A3///hhsheTHfHO47JybMPZFAob3dxeo0XBbMiVpAJ6blqRGxGT0pC/aQnwzx8TizzNGYdKQMDxz7Uj1vP6K9MkxPh5ueGVuSr8jbmQ7rBbQ+Pj4YNasWVi6dCmysrLw1VdfqcJ62lEYGa1pampS/3799ddx8uRJ/PnPf+76nty4yomILC2rsAaVDWevusTpAGf7ySrUmqBMvyl8mVNqULl/ec6JigYcKq2HrblqRATeWzxOjR7JNJJ2rycJQuSrNlgZHxeMv8xKxv/OT4OHW+dxk0cOwOs3pGHswCB1/8ygSJ4rt0sTw7H8pnSkxXYeR/bBqmvRHnvsMRXQLF68GP7+/irZd/Lkyep7Ujn4ueeew5w5c/D555+r4GbevHk9ni/LuZ9//nkrtZ6InFFjS/81SZra2hFg3curUlLbDDcXF7QZONJSWteMETpMn1laQqgvHr4yEfdePBifHyzB0bJ61DW3wdvDDWF+npgycgDiQnzOmawtQcq/5qcht6JBVQA+Xt6AupY2BHm7IykyQO2wHe5vW6u8SDdW/YuTURoZddGOvHSXk5PT9e9zVQ8mIrKGkZH+PZY9n2mAv6d6U7UF2lVNhj8fNk2SliU3xhDxob64/9IhJm8TWQ83pyQi0oMEK9OSo3rNw/jFhEFwtZGiJWG+nkYFNWG+HiZtD5E5MaAhItKTTHdMHhHR4zFJVL3jwkG4Ps2wEQNzuGJ4uMGjLFJcLymKtVfIflh/kpeIyM54ubvimeuScNdFCdiVV6WSTi9MCEGIr21MNWkNDPbBBfEh2H5Sv20DZHzphvQYmxlpItIFAxoiIiMCBrnZsl9MiMO23Eqdj5eptAAvd0wfHWXWdhGZGqeciIgc2Li4YDx6VaL6t4suxeTcXPH3uSkI9mH+DNkXBjRERA5OarY8e93Irq0Mzkxo1tZjiQn0xrIbxyCZuTNkhzjlRETkBKSo3CVDw/BFTilWZRTgWHk9Wto18PZwVUXoJGdGdpVm3kz/imqasPVEJWqb21SQKKNgUhuHrIsBDRGRk5DCczNGR6mbkK0N9N0l3JnllNThjc0n8OPRClVNWUa6tMnW4+KCcMeF8Sq4IevglBMRkZNiMKO7rScq8Mt3M7DpWGcwI7qvHJNd1+9ZlYVP9hm+IzgZhwENERFRH06UN+A36/ejrV3Ta4VoCW7k9sznh9RSfrI8BjRERER9WLHrlApmdC3l8++tJ83cIjoXBjRERES9kJ3TN+wvRruOW0jIKM2Ok1U4Wdlo9rZRT0wKJiIi6sX+olq1GkxfMu00KMS2iy52J3t+ycqtrw+VoqKhVd2XWkSThoThssQwVQ3b1jGgISIi6kVDa7vez5HVT40GPM8a2jo0WJmRj/d25aOotrnHTvLy/7FhfwmCvN1x/ZgYLD4/Dj4enbWMbBEDGiIiol7INhD6kmknQ55naU2t7fjtx/ux+XhlV35Q98Eo7Squ6qY2/GfbSfx0rBwvz01BqI3tWaZl+2NIREREVpISEwi/0xWWdSUjG7JZqS1r79DgsU8OYMuJn4OZvkhwc6S0Hks+3Guzo08MaIiIiPrYWX1OanTX9hD9keMuHxaOcH8v2LJ1ewvx07EKvXZhl9GbI2X1eGNzLmwRAxoiIqI+LBwXi0Bvj7P2wDqT1Cl0d3PF7RfGw5ZpNBqVM2NIWUUJgNZmFarpKlvDgIaIiKgPEf5e+Me8FAT1EdTIyIyXmyv+d3YyEsP9YMsy8quRW9moc12dM9W3tOPLnFLYGgY0RERE/RgW4Y93F43FzePj4O/ldta01OzUaLy7aBzOG2TbuTPiu8PlcOtvuKmfkahvD5fB1th+GjYREZENkLyYJZcMxp0T47GvqAa1Te0qYTgpyh9+nvbzdlrV2KqmnQwlTy2vb4GtsZ/fABERkQ2QEZmxA7mrtq3hlBMREZETCfbxMGqndXlqqJ/t1aJhQENERORELhsWpurQGDPldMWwcNgaBjREREROJD02CPEhPgYt2xaSN3T1iAjYGgY0RERETsTFxQULxsYatGxbFkfNSomGtw3u6cSAhoiIyMnMSo3GRYND+y0WeGatHamxI6u8bBEDGiIiIifj7uqC56Yn4YL4EJ2mniTwSYzwwyvXp8BXz72tLIUBDRERkRPy8XDDX2aPxv2XDkFUQOfeU90L7mn3rwrydscvJgzCGzeMsdmdtgXr0BARETnxSM1N4weq/aq2nqjEVzmlqGhoRYdGo5Z3Xzw0DJclhsHDzfbHPxjQEBEROTlXFxdMHByqbvbK9kMuIiIion5whIaIiMiGyD5Le/Jr8OOxCjX1M35QMC5MCFGjKNQ7BjREREQ2orG1HQ+v34dtuVVdCbrv7DyF4adXGNlyUq61ccqJiIjIRvzlm6PYcbJK/Vu2J9BuUXC0rB6///SglVtn2xjQEBER2YCqxlZ8sr8Y59pmqV0DFehIYEPnxoCGiIjIBhwrr+9308ickjqLtcfeMIeGSIdPTTIMvLewBuH+nrj/kiFIiQm0drOIyMH4e/b/luzvxbft3nCEhqgPbR0a3PdhFr7MKUF+dRP2FtTg7pV7cLy8wdpNIyIHMyzCD3HB3r1uReDv6YYJ8SEWbpX9YEBD1IdDJXXIKalX89dCRoPbO4CNB4qt3TQicsBdsB+9cphant1900jtPx+6Yii83Pm23RuOXRH1obf57LYOizeFyCb+HiTPo7qxDVISJczXE/GhPuqNmExjQkIIXr8hFW9szsX206udRkUF4PYLB2HSkDBrN8+mMaAh6sPwAf6IDfJGUU2TGqWRy7YGGlwxjBcWch7l9S34KLsIKzMKUFbf0uN7CaE+uCE9FlNHDYCfDjkg1L+02CD8Y14qWto6VGE9bw/b3N3a1nDsiqgPMrz7j3kpKglY/h0V6IUXZiQjOZpJweQcPswswLQ3tuFfm06cFcyI3IpGvPD1EVz72jZsOlZhlTY6Kk93VwYzemA4TdSP2CAfvLlgjLWbQWRx/9l2Ev/86USfx2i6Vbh9cF02/nhdEq4eEWGR9hF1xxEaIiI6y1c5pf0GM2cGNhoN8MSGg9hXVGvWthGdC0do6Cx1zW347EAJMk5Vqxoskm0f7OOBCxNCcdWICGbZEznB5oj//Om4/s/rfDKWbc3FX2aNNkfTiHrFgIa65FY04L3d+fhkX7FKRpOFC9pFPhLUfH6wFC99ewSzU6KxYGwsBgR4WbvJRGQGu09VI6+qyaDnSvL8j0crVCJ9VKC3ydtG1Bt+1CZFkvluens31mUVormtQ33S6r5iWfvvuuZ2vLvrFBb+dxf2FdZYrb1EZN5EYDcjVmLLhyFZFUVkSQxoCJuOV6hkPhmV0RaQ64scI9NSd63MwoFizpUTOZpDpT8XkzSE5NIcLWM1bbIsBjROLq+yEY9+tF9dgPS5fsmITWt7B5Z8uFfl2RCR42hoaTfq+XItqWlqM1l7iHTBgMbJfZCRj7b2zikmfUlQU9Pcho85tEzkULw9jH9r8Pdi/RSyLAY0Tv4pTOa5jR1a/iCjQFWzJCLHMCTM16gcGllEEB/qa8omEfWLAY0Tkw0WG1uN35SouLYZW05UmqRNRGR9c9JijPqgI6O3s1KiTNkkon4xoHFimfk1PXZ0NZS7qwsyT1WboklEZAMuTAhBpIFlGeSaMiE+GAODfUzeLqK+MKBxYpK018tm0nqrbWYCIJGjcHVxwZ0Xxhv0XJl9/uWEQSZvE1F/GNA4MVOMzvx8LhOejIisbkZKFG4cF6v38357VSLGxQWbpU1EfWFA48SCfDyMSvzr/oks0JtFp4kczf9cOgR3TewcqenrWiEfjmTq+empI1T+DZE18F3IiU0cHKq2OTBWu0aDiwaHmqRNRGQ7XFxccPuF8Wr37DVZhViXVYSG1p41akJ9PTBvTIxKAg7353YoZD0MaJzYZYlhCPZxR1Wj4fkv8qFtSLgvRkcHmLRtRGQ7ZAn2A5cNxa8uSkBWQY3Kv3N1dUGIjwdSYgLV6AyRU085NTc34/HHH8f48eMxadIkLFu2rNdj9+/fj3nz5iEtLQ1z585Fdna2RdvqiDzcXDE3LcaoXBrJKb4hPVZ9kiMix+bt4Ybz40Nw1YgIXDEsHOkDgxjMkM2wakDzwgsvqMBk+fLleOqpp/Dqq69i48aNZx3X0NCAO++8UwU+a9asQXp6Ou666y71OBlHhooll8aQa5LMqceH+GBq0gBzNI2IiMj2AxoJRlatWoXf/e53SE5OxtVXX43bb78dK1asOOvYDRs2wMvLC4888giGDh2qnuPn53fO4If0E+bniVfnpsDL3VWvoMbNxUUFQq9en6I+tRERETllQHPw4EG0tbWp0RatcePGYc+ePejo6Fm9Vh6T72mnNeTr2LFjkZmZafF2O6LhA/yxbGE6Qn09VU5MX3GNNugZGOyN5TelIyrQ21LNJCIisr2k4NLSUoSEhMDT07PrsfDwcJVXU1VVhdDQ0B7HJiYm9nh+WFgYDh8+rPfPNSbVQ/tcR0wXGTbADx/eOl6tevpgdz7yqprg5urSFdxoNBpVCn1YhJ/KmZk8MsKsIzOO3Ne2hn1tWexvy2FfO0Zf63pOqwU0jY2NPYIZob3f0tKi07FnHqeLsDDjV+OY4hy2KBzAfbEhuPfqEdhyrBzbjlWgurFVFc0L9vXApcMjkGbhglmO2te2iH1tWexvy2FfO0dfWy2gkZyYMwMS7X1vb2+djj3zOF2Ul9eqQnCGRonyyzLmHPZieJAXhqdHn/V4WVmtRX6+M/W1tbGvLYv9bTnsa8foa+25bTagiYyMRGVlpcqjcXd375pakiAlMDDwrGPLysp6PCb3BwzQf3WNdLSxnW2Kc5Bu2NeWw762LPa35bCvnaOvrZYUnJSUpAKZ7om9u3btQkpKClxdezZLas9kZGSoPA4hX3fv3q0eJyIiIrJaQOPj44NZs2Zh6dKlyMrKwldffaUK6y1atKhrtKapqUn9e8qUKaipqcGzzz6LI0eOqK+SVzN16lRrNZ+IiIhsiFUL6z322GOqBs3ixYvx9NNPY8mSJZg8ebL6nlQOlvozwt/fH6+//roawZkzZ45axv3GG2/A19fXms0nIiIiG+Gi0c7jOAlJajUmKTg8PMCoc5Bu2NeWw762LPa35bCvHaOvtefuj9NtTsk6NPaBfW057GvLYn9bDvvauerQON0IDRERETkeq+bQEBEREZkCAxoiIiKyewxoiIiIyO4xoCEiIiK7x4CGiIiI7B4DGiIiIrJ7DGiIiIjI7jGgISIiIrvHgIaIiIjsHgOaMzQ3N+Pxxx/H+PHj1QaZsgN4b/bv34958+YhLS0Nc+fORXZ2tkXb6kx9/d1332HmzJlIT0/H9OnT8fXXX1u0rc7U11qnTp1S/b1t2zaLtNFZ+zsnJwcLFy5Eamqqem1v3brVom11pr7+8ssvMXXqVPW6lj7ft2+fRdvqKFpaWjBt2rQ+rw1WeX+UrQ/oZ3/4wx8006dP12RnZ2u++OILTXp6uuazzz4767j6+nrNRRddpHn++ec1R44c0TzzzDOaiRMnqsfJtH194MABTXJysmb58uWaEydOaN555x11Xx4n0/Z1d7fddptm+PDhmq1bt1qsnc7W3zU1Neq68fvf/169tv/+979rxo0bpykrK7NKux25rw8dOqRJSUnRrF27VpObm6t5+umn1TW8oaHBKu22V01NTZp77723z2uDtd4fGdB0I50tL/juv6R//OMfmptvvvmsY1etWqW54oorNB0dHeq+fL366qs1q1evtmibnaGvX3zxRfXm2t2tt96q+etf/2qRtjpTX2utX79es2DBAgY0Zu5vCdKvuuoqTVtbW9djc+bM0Xz33XcWa6+z9PV//vMfzezZs7vu19bWqtd3VlaWxdpr7w4fPqyZMWOGCiD7ujZY6/2RU07dHDx4EG1tbWo4UmvcuHHYs2cPOjo6ehwrj8n3XE5vAypfx44di8zMTIu329H7evbs2fjNb35z1jlqa2st0lZn6mtRWVmJF198EX/4wx8s3FLn6+/t27fjyiuvhJubW9djq1evxqWXXmrRNjtDXwcHB+PIkSPYtWuX+t6aNWvg7++PQYMGWaHl9mn79u2YMGECPvjggz6Ps9b7o7tZz25nSktLERISAk9Pz67HwsPD1RxtVVUVQkNDexybmJjY4/lhYWE4fPiwRdvsDH09dOjQHs+VPt6yZQsWLFhg0TY7Q1+L559/XgWRw4YNs0Jrnau/8/LyVO7ME088gW+++QaxsbF49NFH1ZsBmbavr732WtXHN954owogXV1d8frrryMoKMhKrbc/N954o07HWev9kSM03TQ2Nvb4wxDa+5IEpcuxZx5Hxvd1dxUVFViyZImK9uWTLZm2rzdv3qw+wd5zzz0WbaOz9ndDQwPeeOMNRERE4M0338R5552H2267DYWFhRZtszP0tYw8yhvtk08+iZUrV6pFBo899hjKy8st2mZn0Gil90cGNN14eXmd1eHa+97e3jode+ZxZHxfa5WVlWHx4sWS94WXX35ZfcIi0/V1U1OTutg/9dRTfB1b6LUtIwVJSUn49a9/jVGjRuHhhx9GQkIC1q9fb9E2O0Nfv/TSSxg+fDhuuukmjB49Gs888wx8fHzUFB+ZlrXeH/mO0E1kZKSK4mVOVksievklBAYGnnWsvMF2J/cHDBhgsfY6S1+L4uJidSGSP4r//ve/Z02TkPF9nZWVpaZA5M1VchK0eQl33HGHCnTI9K9tGZkZMmRIj8ckoOEIjen7WpZojxw5suu+fCCS+wUFBRZtszOItNL7IwOabuSTkru7e4/EJRl+T0lJOWs0QNbWZ2RkqNECIV93796tHifT9rUMy99+++3q8XfeeUf9sZDp+1pyOb744gusW7eu6yb++Mc/4v7777dK2x39tT1mzBhVh6a7Y8eOqVwaMm1fy5vp0aNHezx2/PhxDBw40GLtdRZpVnp/ZEDTjQw/zpo1C0uXLlWfVr/66itVpGnRokVdkb8My4spU6agpqYGzz77rMqcl68ybyhFm8i0fS2JeydPnsSf//znru/JjaucTNvX8qk2Pj6+x01IACkJfWT617YktktA88orryA3Nxd///vf1SiZ5HeQaft6/vz5KndGAnXpa5mCktEZSYAn49nE+6NZF4XbISmy9Mgjj2jGjBmjmTRpkqpdoCXr7ruvo9+zZ49m1qxZqg7C9ddfr9m3b5+VWu3YfX3NNdeo+2feHn30USu23nFf192xDo35+3vnzp2qPsro0aM1M2fO1Gzfvt1KrXb8vl65cqVmypQp6tiFCxeqYnxkmDOvDbbw/ugi/zFvyERERERkXpxyIiIiIrvHgIaIiIjsHgMaIiIisnsMaIiIiMjuMaAhIiIiu8eAhoiIiOweAxoiIiKyewxoiIiIyO4xoCEiu7dmzRqMGDECq1atsnZTiMhKGNAQkd379NNPMWjQIKxfv97aTSEiK2FAQ0R2rby8HFu2bMG9996LnTt3qs0dicj5MKAhIru2ceNGBAQEYMaMGRgwYABHaYicFAMaIrL76abLLrsMrq6uuOKKK7Bu3Tpwz10i58OAhojsVmFhIXbv3o2rrrpK3Z88ebKactq1a5e1m0ZEFsaAhojsenTGy8sLkyZNUvfPP/98BAUFYe3atdZuGhFZmIuGY7NEZKdmz56N/fv3w83Nreux9vZ2+Pv7Y9OmTfD29rZq+4jIctwt+LOIiEzm+PHjKpj5/e9/jwkTJnQ9fuTIETzwwAP48ssvMX36dKu2kYgshyM0RGSXXn31Vbz99tv48ccf4enp2eN71113HaKiovDvf//bau0jIstiDg0R2W3+jIzAnBnMiIULF2Lz5s0oLi62StuIyPI4QkNERER2jyM0REREZPcY0BAREZHdY0BDREREdo8BDREREdk9BjRERERk9xjQEBERkd1jQENERER2jwENERER2T0GNERERGT3GNAQERGR3WNAQ0RERLB3/w8vnV/YsDFf9AAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 13
  },
  {
   "cell_type": "markdown",
   "id": "04bb0ece-dcd5-43f3-b5c7-c41d9d4883f0",
   "metadata": {},
   "source": [
    "## （5）面积图"
   ]
  },
  {
   "cell_type": "code",
   "id": "a88abe21-3442-49ed-9f62-f514ed527b2f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:21.746341Z",
     "start_time": "2025-06-20T06:14:21.734150Z"
    }
   },
   "source": [
    "df5 = pd.DataFrame(\n",
    "    data=np.random.rand(10, 4),\n",
    "    columns=list('ABCD')\n",
    ")\n",
    "\n",
    "df5"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "          A         B         C         D\n",
       "0  0.807584  0.782929  0.633723  0.453917\n",
       "1  0.220355  0.294048  0.856526  0.220770\n",
       "2  0.694149  0.485076  0.461797  0.015430\n",
       "3  0.408827  0.066626  0.871756  0.301416\n",
       "4  0.478336  0.266853  0.901117  0.196320\n",
       "5  0.897860  0.288308  0.358035  0.641626\n",
       "6  0.751797  0.422263  0.074598  0.687737\n",
       "7  0.447666  0.230592  0.465708  0.777219\n",
       "8  0.643741  0.894105  0.851656  0.134666\n",
       "9  0.503863  0.408759  0.923081  0.999550"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.807584</td>\n",
       "      <td>0.782929</td>\n",
       "      <td>0.633723</td>\n",
       "      <td>0.453917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.220355</td>\n",
       "      <td>0.294048</td>\n",
       "      <td>0.856526</td>\n",
       "      <td>0.220770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.694149</td>\n",
       "      <td>0.485076</td>\n",
       "      <td>0.461797</td>\n",
       "      <td>0.015430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.408827</td>\n",
       "      <td>0.066626</td>\n",
       "      <td>0.871756</td>\n",
       "      <td>0.301416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.478336</td>\n",
       "      <td>0.266853</td>\n",
       "      <td>0.901117</td>\n",
       "      <td>0.196320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.897860</td>\n",
       "      <td>0.288308</td>\n",
       "      <td>0.358035</td>\n",
       "      <td>0.641626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.751797</td>\n",
       "      <td>0.422263</td>\n",
       "      <td>0.074598</td>\n",
       "      <td>0.687737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.447666</td>\n",
       "      <td>0.230592</td>\n",
       "      <td>0.465708</td>\n",
       "      <td>0.777219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.643741</td>\n",
       "      <td>0.894105</td>\n",
       "      <td>0.851656</td>\n",
       "      <td>0.134666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.503863</td>\n",
       "      <td>0.408759</td>\n",
       "      <td>0.923081</td>\n",
       "      <td>0.999550</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 14
  },
  {
   "cell_type": "code",
   "id": "9eaa9e90-2750-4c2c-ae59-95754f671319",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:22.029396Z",
     "start_time": "2025-06-20T06:14:21.766821Z"
    }
   },
   "source": [
    "df5.plot(kind='area')  # 默认就是堆叠的"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 15
  },
  {
   "cell_type": "code",
   "id": "2c11a3fa-4d04-4b84-82c8-8a2c0f616cce",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:22.222341Z",
     "start_time": "2025-06-20T06:14:22.050614Z"
    }
   },
   "source": [
    "df5.plot(kind='area', stacked=False)  # 手动设置不堆叠"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 16
  },
  {
   "cell_type": "markdown",
   "id": "75eabd48-5ef9-4bb9-8422-4183640fb8d8",
   "metadata": {},
   "source": [
    "## （6）箱型图"
   ]
  },
  {
   "cell_type": "code",
   "id": "a9068bfa-77f1-4958-bfab-272a0a46ecb1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:22.251883Z",
     "start_time": "2025-06-20T06:14:22.239409Z"
    }
   },
   "source": [
    "df6 = pd.DataFrame(\n",
    "    data=np.random.rand(10, 4),\n",
    "    columns=list('ABCD')\n",
    ")\n",
    "\n",
    "df6"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "          A         B         C         D\n",
       "0  0.940587  0.081066  0.128394  0.554735\n",
       "1  0.614274  0.544357  0.124564  0.105050\n",
       "2  0.488074  0.508149  0.089799  0.838666\n",
       "3  0.960748  0.080160  0.374479  0.448120\n",
       "4  0.851079  0.683587  0.782694  0.111690\n",
       "5  0.940499  0.968757  0.385231  0.419665\n",
       "6  0.025065  0.424453  0.254323  0.627543\n",
       "7  0.682347  0.366830  0.271359  0.001039\n",
       "8  0.402178  0.598864  0.356227  0.463056\n",
       "9  0.181260  0.018979  0.735278  0.295492"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.940587</td>\n",
       "      <td>0.081066</td>\n",
       "      <td>0.128394</td>\n",
       "      <td>0.554735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.614274</td>\n",
       "      <td>0.544357</td>\n",
       "      <td>0.124564</td>\n",
       "      <td>0.105050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.488074</td>\n",
       "      <td>0.508149</td>\n",
       "      <td>0.089799</td>\n",
       "      <td>0.838666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.960748</td>\n",
       "      <td>0.080160</td>\n",
       "      <td>0.374479</td>\n",
       "      <td>0.448120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.851079</td>\n",
       "      <td>0.683587</td>\n",
       "      <td>0.782694</td>\n",
       "      <td>0.111690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.940499</td>\n",
       "      <td>0.968757</td>\n",
       "      <td>0.385231</td>\n",
       "      <td>0.419665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.025065</td>\n",
       "      <td>0.424453</td>\n",
       "      <td>0.254323</td>\n",
       "      <td>0.627543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.682347</td>\n",
       "      <td>0.366830</td>\n",
       "      <td>0.271359</td>\n",
       "      <td>0.001039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.402178</td>\n",
       "      <td>0.598864</td>\n",
       "      <td>0.356227</td>\n",
       "      <td>0.463056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.181260</td>\n",
       "      <td>0.018979</td>\n",
       "      <td>0.735278</td>\n",
       "      <td>0.295492</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 17
  },
  {
   "cell_type": "code",
   "id": "0caf1f89-d0df-4c9a-a38f-814fd3aa4912",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:22.382799Z",
     "start_time": "2025-06-20T06:14:22.281369Z"
    }
   },
   "source": [
    "df6.plot(kind='box')"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 18
  },
  {
   "cell_type": "markdown",
   "id": "b94800be-ba89-41b8-9439-ca20405e5507",
   "metadata": {},
   "source": [
    "## （7）直方图"
   ]
  },
  {
   "cell_type": "code",
   "id": "245cceb3-7165-4d49-ac0f-6c2e4f577c0c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:22.414882Z",
     "start_time": "2025-06-20T06:14:22.398677Z"
    }
   },
   "source": [
    "df7 = pd.DataFrame(\n",
    "    data={\n",
    "        'A': np.random.randn(1000) + 1,\n",
    "        'B': np.random.randn(1000),\n",
    "        'C': np.random.randn(1000) - 1,\n",
    "    }\n",
    ")\n",
    "df7"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "            A         B         C\n",
       "0    0.132088 -1.577875  0.138452\n",
       "1    0.102269  0.153941 -1.081950\n",
       "2   -0.599224  0.032936  0.212952\n",
       "3    1.896337  1.707577 -0.755027\n",
       "4    0.699369  0.060308 -0.401161\n",
       "..        ...       ...       ...\n",
       "995  1.189746  1.135942 -2.335080\n",
       "996  1.837855 -0.008736 -2.438149\n",
       "997  2.853544 -0.679560 -1.005276\n",
       "998  0.140465  1.289264  1.048896\n",
       "999  1.722061  0.527481 -0.125610\n",
       "\n",
       "[1000 rows x 3 columns]"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.132088</td>\n",
       "      <td>-1.577875</td>\n",
       "      <td>0.138452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.102269</td>\n",
       "      <td>0.153941</td>\n",
       "      <td>-1.081950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.599224</td>\n",
       "      <td>0.032936</td>\n",
       "      <td>0.212952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.896337</td>\n",
       "      <td>1.707577</td>\n",
       "      <td>-0.755027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.699369</td>\n",
       "      <td>0.060308</td>\n",
       "      <td>-0.401161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>1.189746</td>\n",
       "      <td>1.135942</td>\n",
       "      <td>-2.335080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>1.837855</td>\n",
       "      <td>-0.008736</td>\n",
       "      <td>-2.438149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>2.853544</td>\n",
       "      <td>-0.679560</td>\n",
       "      <td>-1.005276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>0.140465</td>\n",
       "      <td>1.289264</td>\n",
       "      <td>1.048896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>1.722061</td>\n",
       "      <td>0.527481</td>\n",
       "      <td>-0.125610</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 3 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 19
  },
  {
   "cell_type": "code",
   "id": "4c3ff50a-4263-4b0c-81c4-310385ce8e86",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:22.704465Z",
     "start_time": "2025-06-20T06:14:22.469350Z"
    }
   },
   "source": [
    "df7.plot(kind='hist')"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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SlAg4AAC4VEEDR3HAIGMAAGAdAg4AALAOAQcAAFiHgAMAgAtkZxefsTbZIagrAQcAAAfT8zOq06ezpLg4/c+6+nwFnwvFLCoAABzM6/VJTEysHD9+xNwuWTJa/H6xtuXm5MnTpq5aZ6+34O0wBBwAABwuLi7RXOsH/4kTXgkEAmIrn89rwk2wzgVFwAEAwOE8Ho+UKZMkcXEJEhcXJUeO/Cw2DsnxeERSUuLlyJETl10/Ag4AAC6hXTbR0dFSosQZawOO759jji4Xg4wBAIB1CDgAAMA6BBwAAGAdAg4AALAOAQcAAFiHgAMAAKxDwAEAANYh4AAAAOsQcAAAgHUIOAAAwDoEHAAAYB0CDgAAsA4BBwAAWIeAAwAArEPAAQAA1iHgAAAA6xBwAACAdQg4AADAOgQcAABgHQIOAACwDgEHAABYh4ADAACsQ8ABAADWIeAAAADrEHAAAIB1whpw9u/fL3379pWGDRvKzTffLGPHjpWsrCyzb9SoUVKtWrVclzlz5uQ89r333pOWLVtKnTp1pHfv3nL48OEw1gQAADhJRLheODs724SbuLg4eeONNyQzM1OGDBkiXq9XBg4cKDt37pQnnnhC7rzzzpzHxMbGmusNGzbI0KFDZfjw4VK9enUZPXq0DB48WF5++eVwVQcAADhI2Fpw0tPTZd26dabV5pprrpEGDRqYwKMtM0oDTs2aNSU5OTnnEhMTY/ZpS06bNm2kY8eOJuCMGzdOli5dKrt27QpXdQAAgIOELeBoYJk1a5aULVs21/bjx4+bi3ZfVaxY8aKPXb9+vQlEQeXKlZO0tDSzHQAAIGxdVNo1peNuggKBgGmZufHGG03rjcfjkRkzZsiyZcskPj5eunXrltNddeDAAUlJScn1fElJSbJv3758l8PjEccIlsVJZQol6gfYywn/98XhPWh7HT15qF9e6x62gHO+8ePHy+bNm2XBggWyadMmE3AqV64sXbp0kdWrV8vTTz9txuDcdtttcurUKYmMjMz1eL19+vTpfL9uUlJpcRonlimUqB9gl4SEUuIkxeE9aHsdk0JQvwinhJtXX31VXnzxRalataoZk9OiRQvTcqN0nM13330nc+fONQEnKirqgjCjt4NjdPLj0KGfJDtbHEFTqf5RnVSmUCru9fP5vI77IABC4ciRn8XvD4S7GNYfY4pDHT15qF/wPo4POCNHjjTBRUNOq1atzDZtvQmGmyBtzVm5cqX5OTU1VTIyMnLt19s6rie/9BfotH8SJ5YplKgfYB8n/c8Xh/eg7XXMDkH9wroOzpQpU2TevHkyYcIEueOOO3K2T5o0Sbp27Zrrvlu3bjUhR+naN2vWrMnZ9+OPP5qLbgcAAAhbwNGBxNOmTZOHHnpI6tevLwcPHsy5aPeUjruZPXu2/PDDD/KXv/xF3nrrLenevbt57L333itvv/22zJ8/3wSfAQMGSPPmzeWKK64IV3UAAICDhK2L6pNPPhG/3y/Tp083l3Nt27bNtOJMnjzZXJcvX15eeOEFqVevntmv1yNGjDD7dYHAJk2amK4uAACAsAacnj17msul6GkY9HIpnTp1MhcAAIDzcbJNAABgHQIOAACwDgEHAABYh4ADAACsQ8ABAADWIeAAAADrEHAAAIB1CDgAAMA6BBwAAGAdAg4AALAOAQcAAFiHgAMAAKxDwAEAANYh4AAAAOsQcAAAgHUiwl0AAIC7+XxeV5UnEMg2F9iNgAMAKJDk2CjxB7IlLi5GnCQhodS/3X/WH5DMoycIOZYj4AAACiQuJkJ8Xo88Nu8b2XHguLhBlZRYmfTbeuL1egg4liPgAAAui4abTXuPhbsYQC7O6jgFAAAIAQIOAACwDgEHAABYh4ADAACsQ8ABAADWIeAAAADrEHAAAIB1CDgAAMA6BBwAAGAdAg4AALAOAQcAAFiHgAMAAKxDwAEAANYh4AAAAOsQcAAAgHUIOAAAwDoEHAAAYB0CDgAAsA4BBwAAWIeAAwAArEPAAQAA1iHgAAAA6xQo4KxcuVKys7Mv+8X3798vffv2lYYNG8rNN98sY8eOlaysLLNv165d0rVrV6lbt660bdtWli9fnuuxX375pbRr107q1KkjDzzwgLk/AABAgQPOY489ZgLJqFGjZN26dQX6TWpA0nBz8uRJeeONN+TFF1+Uzz77TCZOnGj29e7dW8qWLSsLFy6UDh06SJ8+fWTv3r3msXqt+zt16iQLFiyQxMREeeSRR0ISugAAgPtFFORBX3zxhbksXrxYevbsKbGxsdKmTRu54447pGbNmnl6jvT0dBOO9Hk0yCgNPM8//7zccsstpkVm3rx5UrJkSbn66qtlxYoVJuw8+uijMn/+fKldu7Z0797dPE5bfpo0aSKrVq2SRo0aFaRKAACguAeciIgIadasmbmcPXvWdBd9+umnct9990lqaqq0b9/etK6kpaVd8jmSk5Nl1qxZOeEm6Pjx47J+/XoTlDTcBNWvXz+ntUj3N2jQIGdfTEyM1KpVy+zPb8DxeMQxgmVxUplCifoBcBI3vldtP8548lC/vNa9QAEn6PTp0/L555/Lxx9/LH/7298kISFBbr31Vvnuu+9Ma84TTzwhXbp0uehj4+LiTDdXUCAQkDlz5siNN94oBw8elJSUlFz3T0pKkn379pmf/9P+/EhKKi1O48QyhRL1AxBuCQmlxM1sP86Eon4FCjhLliwx3VMaakqUKCGtWrWSqVOn5mpV0XE1EyZMuGTAOd/48eNl8+bNZkzN//zP/0hkZGSu/XpbA5XScTv/bn9+HDr0kzhl6I6mUv2jOqlMoVTc6+fzeV1/UAVsceTIz+L3B8Rtivtx9Nz7FErAGThwoLRs2dIEGB374vP5LriPjpHp1q1bnsPNq6++agYaV61aVaKiouTo0aO57qPhJTo62vys+88PM3pbW4XyS3+BTvsncWKZQon6AXACN79PbT/OZIegfgUKODrmRsfKHDt2LCfcfPDBB3LDDTeYsTVKp2/r5T8ZOXKkzJ0714QcbQlSOo5nx44due6XkZGR0y2l+/X2+ftr1KhRkOoAAADLFGia+Nq1a+W2226Td999N2fba6+9ZtarWbNmTZ6fZ8qUKWamlLYE6ZidIA1GmzZtklOnTuVs0+cNBia9Pvd1tMtKu7fyEqgAAID9ChRwdCr3ww8/bKZ1B2lQ6dGjh4wZMyZPz7Fz506ZNm2aPPTQQ2aGlA4cDl504b9y5crJ4MGDZfv27TJz5kzZsGGD3HXXXeaxnTt3NiFLt+t+vV+FChWYIg4AAAreRaWzpFq3bn3Bdl0LR0NLXnzyySfi9/tl+vTp5nKubdu2mecZOnSomW5+1VVXmUHMwWnnGmZeeuklE6Z0e7169cy1x9Z5cwCKjQoJMVIrLf/jCcNVVsCqgFO5cmX58MMPpVevXrm261o4V155ZZ6eQxcI1MulaKjRaeOXElyHBwCsEJsiEvDLgNY1ZMCF3x+dK+CX5NiocJcCCE3Aefzxx82pEXQVYl1gL9jq8vXXX5uWFQBAPkXHi3h9Igt7iGT8XVyhbFWRzrMkLuayllQDCkWB/iv1VAqLFi0yp07QUy7oysbVq1eX4cOHyxVXXBH6UgJAcaHh5sf14S4F4HoFjt3XXHONDBo0KLSlAQAACFfA0fVvXnnlFfn222/NuajOP4u3ThkHAABwVcAZMGCACTd6Uk09kzgAAICTFHglY53hdN1114W+RAAAAOFY6E9PleD1FuihAAAAzu2iGjZsmFnJWNer0TOKnyu4IB8AAIBrAs6jjz5qroML9QVXENbBxvrzli1bQllGAACAwg84epoFAAAApyrQQJry5cuby4kTJ8xZvBMSEiQQCJiuKd0OAADguhaczMxMeeyxx2TVqlXm9kcffSSjR4+WXbt2mTN8E3IAAIDrWnBGjRolMTExsnLlSomK+uUka3pm71/96ldmHwAAgOsCzueffy79+/eXuLi4nG2JiYkyePBgWb16dSjLBwAAkG8FXswmKyvrgm2HDx82J94EAABwXcBp166dGXOzfft2My1cBxtrd9XTTz8tbdu2DX0pAQAAimKhvwkTJkinTp3kzJkz0qFDB/H5fHL33XebfQAAAK4LOJGRkTJo0CB5/PHHzcwpv98vV1xxhZQqVSr0JQQAACiKgHOxgcS6Hk7QDTfcUJCnBQAACF/Auf/++y/ZspOcnMxKxwAAwH0BZ+vWrbluaxfVDz/8ICNHjpT27duHqmwAAABFO038XDrAuFKlSmZczqRJk0LxlAAAAOENOEGHDh2SY8eOhfIpAQAAiqaLSlcsPt/PP/8sX375pbRu3bogTwkAABAyIVt2OD4+XgYOHGjWxAEAAHBdwBk7dmzoSwIAABDOgDNlypQ837dPnz4FeQkAAICiDTjff/+9LF682HRL1a5d26x/o1PHdap43bp1c064qeepAgAAcM2pGnS9m+HDh0uJEiVytj///POSmZkpY8aMCWUZAQAACn+a+AcffCA9evTIFW7Ub37zG7MPAADAdQEnNTVVPv/88wu2f/TRR+akmwAAAK7ronriiSfMmcT/9re/SfXq1c22b7/91pxwc8aMGaEuIwAAQOG34Nx2223y5ptvStWqVWXnzp2yZ88eadiwoWnB0WsAAABXLvRXrVo1s6KxDiqOjY0Vr9fLrCkAAODeFpzs7GyZPn26NGrUSBo3bix79+6VP/zhD/LMM8/I6dOnQ19KAACAwg44U6dOlXfeeUeee+45M2Vc3XnnnfLFF1/IuHHjCvKUAAAA4e2iWrRokQk3N9xwQ063VJMmTcw6OI899pg89dRToSshABRU/JUi5eqIa8oKILwB59ChQ5KSknLB9ri4ODlx4kQoygUABZYUkyT+gF98v35GRC8uYcoce+GxFUARBZwbb7xRZs+eLSNGjMjZdvz4cZkwYYIZlwMA4RQXGSc+r08GLRsk6Znp4gaVy1SW5255TiQ6PtxFAYpvwBk2bJg5iaZ2S2VlZckjjzxiBhqnpaWZwccA4AQabrYc3hLuYgBwS8DRrqgFCxbIihUrJD09Xc6ePSuVKlWSpk2bmuni+aUzrzp16iRPP/10TgvQqFGj5PXXX891P93fpUsX8/N7770nEydOlIMHD5rXHTlypCQmJhakOgAAwDIFCjjt2rWTKVOmmCnierkc2gKkKyNv374913ZdQFC36+ysIF1vR23YsEGGDh1qTvapKymPHj3arMnz8ssvX1ZZAABAMQ442kpz5syZy37xHTt2mBCj6+qcTwPOgw8+KMnJyRfsmzNnjrRp00Y6duxobuvU9BYtWsiuXbs4FxYAAChYwGnevLl069bNhIry5cvnrIUTpONz8mLVqlWmS6pfv35St27dXAOW9+/fLxUrVrzo49avXy8PPfRQzu1y5cqZ8T+6nYADAAAKFHC2bdsmtWrVkgMHDpjLufJzuob77rvvotu19UafR0/cuWzZMomPjzeBKthdpa95/jT1pKQk2bdvX77r4qSzSwTL4qQyhRL1A+Akbnyv2n6c8eShfnmte54Dzu9+9zszQ0oHGAcH/546dUqio6Ml1HTgsgacypUrm0HFq1evNgOMdQyOnuhTX/f8ViO9XZDTRCQllRancWKZQon6AQi3hIRS4ma2H2eSQlC/PAecNWvWXDDu5qabbpK333475N1COrZGu7+05UbpQOLvvvtO5s6dawJOVFTUBWFGb8fExOT7tQ4d+kkuMgQoLDSV6h/VSWUKpeJeP5/P6/qDKmCLI0d+Fr8/IG5T3I+j596n0M4mri42ODgUtPUmGG6CtDVn5cqV5ufU1FTJyMjItV9vX2xA8n+iVXDaP4kTyxRK1A+AE7j5fWr7cSY7BPUr0Mk2C9ukSZOka9euubZt3brVhBxVp04d06IU9OOPP5qLbgcAAHBkwNHuKR13o6eD+OGHH+Qvf/mLvPXWW9K9e3ez/9577zVdY/PnzzfBZ8CAAWZmFzOoAABAvruoPvzww5zF9lQgEJC//vWvF6wgHFyfpqCuu+4604ozefJkc61T0V944QWpV6+e2a/Xeh4s3Z+ZmWlOGaErGQMAAOQr4Og6M6+88soFU7N10b3zx88UJODo1PNztWzZ0lwuRU/toBcAAIACB5xPP/00r3cFAAAIq8uaRQWEk9frMRen0eng+dkOAAg9Ag5cSYNNfEKM+Lw+cRrWugGA8CPgwLUBR8PNoGWDJD0zXdygafmm0vf6vuEuBgAUCwQcuJqGmy2Ht4gbVCpTKdxFAIBig0EBAADAOgQcAABgHQIOAACwDgEHAABYh4ADAACsQ8ABAADWIeAAAADrEHAAAIB1CDgAAMA6BBwAAGAdAg4AALAOAQcAAFiHgAMAAKxDwAEAANYh4AAAAOsQcAAAgHUIOAAAwDoEHAAAYB0CDgAAsA4BBwAAWIeAAwAArEPAAQAA1iHgAAAA6xBwAACAdQg4AADAOgQcAABgHQIOAACwDgEHAABYh4ADAACsQ8ABAADWIeAAAADrEHAAAIB1CDgAAMA6BBwAAGAdAg4AALAOAQcAAFjHEQHn9OnT0q5dO/nqq69ytu3atUu6du0qdevWlbZt28ry5ctzPebLL780j6lTp4488MAD5v4AAACOCDhZWVnSv39/2b59e8627Oxs6d27t5QtW1YWLlwoHTp0kD59+sjevXvNfr3W/Z06dZIFCxZIYmKiPPLII+ZxAAAAYQ04O3bskN/85jfyww8/5Nq+cuVK0yIzYsQIufrqq6VXr16mJUfDjpo/f77Url1bunfvLtdcc42MHTtW9uzZI6tWrQpTTQAAgJNEhPPFNZA0atRI+vXrZwJM0Pr166VmzZpSsmTJnG3169eXdevW5exv0KBBzr6YmBipVauW2a/Plx8ejzhGsCxOKlMo2V4/AO7ixmOR7cdRTx7ql9e6hzXg3HfffRfdfvDgQUlJScm1LSkpSfbt25en/fmRlFRanMaJZQol2+sHwPkSEkqJm9l+HE0KQf3CGnAu5eTJkxIZGZlrm97Wwch52Z8fhw79JE4ZuqOpVP+oTiqTU+vn83ldf4ACED5Hjvwsfn9A3IbPCcm5jysDTlRUlBw9ejTXNg0v0dHROfvPDzN6Oy4uLt+vpb9Ap/2TOLFMoWR7/QC4g5uPQ7YfR7NDUL+wz6K6mNTUVMnIyMi1TW8Hu6UutT85OblIywkAAJzJkQFH17bZtGmTnDp1KmfbmjVrzPbgfr0dpF1WmzdvztkPAACKN0cGnIYNG0q5cuVk8ODBZn2cmTNnyoYNG+Suu+4y+zt37ixr164123W/3q9ChQr5nkEFAADs5MiA4/P5ZNq0aWa2lC7m984778jUqVMlLS3N7Ncw89JLL5l1cTT06Hgd3e+xdd4cAADIF8cMMt62bVuu21dddZXMmTPnkvdv1qyZuQAAADg24AAAUFR0qQk3CQSyzQV5R8ABABQbybFR4g9kS1xcjLjJWX9AMo+e4JyL+UDAAQAUG3ExEeLzeuSxed/IjgPHxQ2qpMTKpN/WE6/XI34/ASevCDgAgGJHw82mvcfCXQwUInd1QgIAAOQBAQcAAFiHgAMAAKzDGBwAwGWpkBAjtdLyf7LjcJUVxQMBBwBQMLEpIgG/DGhdQwa0FvcI+M10cdiNgAMAKJjoeBGvT2RhD5GMv4srlK0q0nmWmS4Ou/EXBgBcHg03P64PdymAXBhkDAAArEPAAQAA1iHgAAAA6xBwAACAdQg4AADAOgQcAABgHQIOAACwDgEHAABYh4ADAACsQ8ABAADWIeAAAADrEHAAAIB1CDgAAMA6BBwAAGAdAg4AALAOAQcAAFiHgAMAAKxDwAEAANYh4AAAAOsQcAAAgHUIOAAAwDoEHAAAYB0CDgAAsA4BBwAAWIeAAwAArEPAAQAA1iHgAAAA6xBwAACAdQg4AADAOo4OOH/961+lWrVquS59+/Y1+zZv3ix333231KlTRzp37iwbN24Md3EBAIBDRIiD7dixQ1q0aCEjR47M2RYVFSUnTpyQnj17Svv27eW5556TuXPnSq9evUwgKlmyZFjLDACXJf5KkXJ1xDVlBRzK0QFn586dUrVqVUlOTs61fcGCBSboDBgwQDwejwwdOlSWLVsmixcvlk6dOoWtvABQUEkxSeIP+MX362dE9OISpsyxKeEuBuC+gHPTTTddsH39+vVSv359E26UXl9//fWybt06Ag4AV4qLjBOf1yeDlg2S9Mx0cYPKZSrLc7c8JxIdH+6iAO4JONnZ2fKPf/xDli9fLi+//LL4/X5p3bq1GYNz8OBBqVKlSq77JyUlyfbt2/P9Ov/MSI4QLIuTyhRKttcPCAUNN1sObwl3MeBQth9HPXmoX17r7tiAs3fvXjl58qRERkbKxIkTZffu3TJq1Cg5depUzvZz6e3Tp0/n+3WSkkqL0zixTKFke/0AoDAkJJQqNsfRpBDUz7EBp3z58vLVV19JmTJlTBdUjRo1JBAIyB/+8Adp2LDhBWFGb0dHR+f7dQ4d+kmys8URNJXqH9VJZXJq/Xw+b643OwDY7siRn83nYHH/nPD88z6uDTgqPj53v+7VV18tWVlZZtBxRkZGrn16OyUl/wPd9BfotH8SJ5YplGyvHwAUluCx0/bjaHYI6ufYdXA+//xzadSokemOCtqyZYsJPTrA+JtvvjHjdJRer1271qyJAwAA4NiAU69ePTMV/KmnnpL09HRZunSpjBs3Tnr06GEGGx87dkxGjx5t1srRaw1Cbdq0CXexAQCAAzg24MTGxsrs2bPl8OHDZqViXevmnnvuMQFH9+nMqjVr1php4TptfObMmSzyBwAAnD8G55prrpE///nPF9133XXXyaJFi4q8TAAAwPkc24IDAABQUAQcAABgHQIOAACwDgEHAABYh4ADAACsQ8ABAADWIeAAAADrEHAAAIB1HL3QH4qO1+sxl6KgZwJ3wnMAAOxFwIEJNvEJMeLz+ork9RISShXJ6wAAii8CDkzA0XAzaNkgSc9MFzdoWr6p9L2+b7iLAQBwKAIOcmi42XJ4i7hBpTKVwl0EAICDMZABAABYh4ADAACsQ8ABAADWIeAAAADrEHAAAIB1CDgAAMA6BBwAAGAdAg4AALAOAQcAAFiHgAMAAKxDwAEAANYh4AAAAOtwsk0AAFzA5/Ne9GenCgSyzSVcCDgAADhYcmyU+APZEhcXk7MtIaGUON1Zf0Ayj54IW8gh4AAA4GBxMRHi83rksXnfyI4Dx8UNqqTEyqTf1hOv10PAAQAAl6bhZtPeY+Euhms4vxMPAAAgnwg4AADAOgQcAABgHQIOAACwDgEHAABYh4ADAACswzRxAECxUyEhRmqlxYlbyor8I+AUAl3YSC8FVdRLcLthyW8ACInYFJGAXwa0riEDWot7BPxmRWPkHQEnxDTYxCfEiM/rK/BzuGEJbgBwpeh4ET0+L+whkvF3cYWyVUU6zzIrGiPv+G0VQsDRcDNo2SBJz0wXN2havqn0vb5vuIsBAEVHw82P68NdChQiAk4h0XCz5fAWcYNKZSqFuwgA3Cz+SpFydcQ1ZUWxQMABABRIUkyS+AN+8f36GRG9uIQps47FgdUIOACAAomLjHNdl3zlMpXluVue+2UsDqzm6oCTlZUlw4cPl48//liio6Ole/fu5gIAKDpu6pJ3MzdNbb86OfyTZVwdcMaNGycbN26UV199Vfbu3SsDBw6UtLQ0ad3aTXP/AACwc2q7x1PwJVOKbcA5ceKEzJ8/X/70pz9JrVq1zGX79u3yxhtvEHAAAPYMjP7Vda6d2u69jDXhim3A2bp1q5w9e1bq1auXs61+/foyY8YMCQQC4vXmbfE6vVt2dujLVyOxhsREuGP1yUpxv8yiosyFizIXHTeWmzIXjeuSr3PvwOi0+iIR0eIKZSrk/JjHj2Mj2ODz7z6b89oo5MnOLoyP98L30UcfyYgRI+SLL77I2bZz505p27atrFixQhITE8NaPgAAED6uXaP/5MmTEhkZmWtb8Pbp06fDVCoAAOAErg04UVFRFwSZ4G2dUQUAAIov1wac1NRUOXLkiBmHE3Tw4EETbuLi3DGNDgAAFA7XBpwaNWpIRESErFu3LmfbmjVr5Nprr83zAGMAAGAn1yaBmJgY6dixowwbNkw2bNggS5YskVdeeUUeeOCBcBcNAACEmWtnUQUHGmvA0ZWMY2Nj5cEHH5SuXbuGu1gAACDMXB1wAAAArOqiAgAAuBQCDgAAsA4BBwAAWIeA43DDhw+X+++/X2xy6NAh6du3rzl3WJMmTWT8+PG51jNyu2PHjsnQoUPlpptukhtvvFEGDRpkttlGh+91795d3nzzTbFBVlaWDBkyRBo0aCBNmzY1szJtpAuitmvXTr766iuxyf79+81xpWHDhnLzzTfL2LFjzd/UFt9//72ZSKPnX2zevLnMmjVLbNWzZ09z3LxcBBwHW7t2rcydO1ds8+STT8rx48flf//3f2XSpEny/vvvW/VmffbZZ83JYGfOnCmzZ88250h76qmnxCZ6QttRo0blOhec240bN042btwor776qvkbTpkyRRYvXiw20Q/8/v37y/bt28W2sK3hRmfWvvHGG/Liiy/KZ599JhMnThRb3m/6oZ+QkCCLFi0yX3ynT58u7777rtjm/fffl6VLlxbvs4nbTr9lPfPMM1K3bl2xrV5JSUny6KOPylVXXWW2tWrVyizSaIMTJ06YE8FqMK1du7bZpq0Cv/vd78yHi55ixIZvyhpSd+/ebc2q4fp3mz9/vvzpT3+SWrVqmYuGAP2wbN26tdhgx44d8sQTT5gwYJv09HSz6KsG7rJly5ptGnief/55GThwoLhdRkaGWdxWl0XRJVEqVqwojRs3NsfN9u3biy2OHj1qvmjogr2hQAuOQ+m3/2rVqpkuHJvoCVH/+Mc/5oQb/RD59NNPTbOyDXQV7RkzZpiD0bn8fr/8/PPPYoNNmzZJuXLlZOHChVK6dGmxgba4aTepNv8HaRfq+vXrzbdnG6xatUoaNWpkWk5tk5ycbFqBg+EmSFuKbZCSkmJaozTcaEDVYLN69WprjptBGkg7dOggVapUkVCgBceBtEtDWwDefvttK7uogrp06WLepPptWVs4bKDnQrvllltybXvttddMWE1MTBQb3HrrreZiEz2PnTb/awAP0g9LbXXTb5U2/O3uu+8+sZW2JOq4myANpXPmzDFj4Gyj7729e/dKixYtTOu3LVasWCFff/216XbTlqpQIOCEwalTp0wz/6W+iWjXlHbhnP9txJb6lSxZ0vys41IyMzPNWA4dF6AtHzbVT+lB9sMPP3TVGKP81M8WOnbj3HCjgre1WxXuohMXNm/eLAsWLBDbTJ482XRZaQjQgdQ2jO/Lysoy4970s0+/JIYKAScMtNn7UufM0j5y7c645557xMb6TZ06VVq2bGl+rl69urkeM2aM3HXXXWZMR4UKFcSW+un4DQ1vgwcPNrNy3CKv9bOJjo06P8gEb4fygIuiCTc6UFwHGletWlVsExyfoqFAx8INGDDggnDuNlOmTDFjFs9thQsFAk4YaD/4tm3bLrpPp4TrTI7rr7/e3D5z5owJPDo2QEeXp6WliZvrp33iH3zwgRm4GTzre7C/9ciRI64IOP+ufkE6e0oHy+nB5/e//724SV7qZ5vU1FTz/6fjcCIiInK6rTTc2DKQujgYOXKk6dbXkGNT94222Ogg6nO/XOhxUz8f9Jjq9i7U999/39QxOAYu+OVCJ2x88803BX5eAo7D6ABc7SIIev311803at2uA81s6Aro16+fGaQa/GfWQas+n08qVaokNtBpnBputOWGk7+6gw4K12CjHyK6Do7SgZz6bTkYxOH8VoB58+bJhAkTrJn5FqSt23369DHTpzWMK/0irMHG7eEm+Dl37lpo+nmntIXqchBwHCb4zxtUpkwZ8y0yOOvI7XQMx+23326+aWn3jU7P1UXxdMCxzhBwOx2QOmLECLnzzjvljjvuMK0AQXog0iAH54mJiZGOHTuacQ3aZXrgwAGz0J+OcYA7JmZMmzbNrBWjs9/Ofd/pMcftNGjrZAxdckK/OO3Zs8e0Uj388MNig/Lly+e6XapUKXN9uZ97BBwUOf0A0Uu3bt3Mbf1g0bFHNtB1ODS0aSuOXs71ySefuKILrrjSDw4NONqlqGFbB/prGIfz6XtLu/J18Tu9nMuG7lb9YqQBTr8Y6vhMDeQ6nOFSY+XwC0+2jas+AQCAYo3OZQAAYB0CDgAAsA4BBwAAWIeAAwAArEPAAQAA1iHgAAAA6xBwAACAdQg4AADAOgQcAABgHQIOAACwDgEHAACIbf4fLPKHrC35wUEAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 20
  },
  {
   "cell_type": "code",
   "id": "017ccb3c-ed41-4a16-b6a5-c1ad98a555a3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:22.955511Z",
     "start_time": "2025-06-20T06:14:22.735791Z"
    }
   },
   "source": [
    "# 带透明色的直方图\n",
    "df7.plot(kind='hist', alpha=0.5)"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 21
  },
  {
   "cell_type": "code",
   "id": "993d150d-d47d-41f1-8945-667d9a4e3c1f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:23.149664Z",
     "start_time": "2025-06-20T06:14:22.970411Z"
    }
   },
   "source": [
    "# 堆叠直方图\n",
    "df7.plot(kind='hist', stacked=True)"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 22
  },
  {
   "cell_type": "code",
   "id": "dcc52b56-154c-4f66-94ae-b95278118bdb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:23.348689Z",
     "start_time": "2025-06-20T06:14:23.164951Z"
    }
   },
   "source": [
    "# 设置画布大小\n",
    "df7.plot(kind='hist', figsize=(8, 8))"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 23
  },
  {
   "cell_type": "code",
   "id": "5a2b4f05-0caf-4ace-9691-aa11057d7522",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:23.362349Z",
     "start_time": "2025-06-20T06:14:23.357004Z"
    }
   },
   "source": [
    "import matplotlib as plt"
   ],
   "outputs": [],
   "execution_count": 24
  },
  {
   "cell_type": "code",
   "id": "728f52d6-4682-4f0a-b97b-74eb4a04cedd",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:23.384521Z",
     "start_time": "2025-06-20T06:14:23.379620Z"
    }
   },
   "source": [
    "plt.rcParams['font.sans-serif'] = 'Simhei'\n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ],
   "outputs": [],
   "execution_count": 25
  },
  {
   "cell_type": "code",
   "id": "ed0c6fd2-67fb-40ec-a402-d6c3f5fe4410",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:23.689043Z",
     "start_time": "2025-06-20T06:14:23.402710Z"
    }
   },
   "source": [
    "df7.plot(kind='hist', title='直方图')"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': '直方图'}, ylabel='Frequency'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 26
  },
  {
   "cell_type": "code",
   "id": "94f93512-4537-4b76-b045-b3ef1f34ac51",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-20T06:14:23.709593Z",
     "start_time": "2025-06-20T06:14:23.698192Z"
    }
   },
   "source": [],
   "outputs": [],
   "execution_count": null
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
